The Toyota Research Institute/U-M Partnership

Drone Aerial photo of North Campus: MCity, the self driving car testing ground.

In 2016, the Toyota Research Institute (“TRI”) entered into a research partnership with the University of Michigan. The TRI/U-M partnership undertakes research in four thrusts: Autonomous Driving, Enhanced Automotive Safety, Indoor Mobility, and Accelerated Materials Design and Discovery.

TRI established an Ann Arbor office in 2016 because of the broad strengths of the university and the region, particularly in the areas of emerging high-level driver-assist systems, eventually leading to fully autonomous vehicles. In addition to the Ann Arbor office, TRI will also be near two well-established Toyota Technical Center campuses.

The partnership builds on Toyota’s strong and active presence in the Ann Arbor community, as the two local Toyota Technical Centers have long worked with U-M on safety research. Toyota is a founding partner of U-M’s Mcity, an interdisciplinary public-private research and development initiative that is developing the foundation for a commercially viable ecosystem of connected and automated vehicles.

Funding Opportunity

The Toyota Research Institute (TRI) has announced a new funding opportunity for university researchers interested in the field of artificial intelligence (AI).

Learn more about the TRI University Research Program

Learn More About The Partnership Agreements Between U-M and TRI:

Read the 2016 Toyota Newsroom Press Release

Read the 2021 University Record Article

Project Proposals and Summaries

Every year, TRI invites proposals from U-M in the areas of machine intelligence applied to robotics, self-driving cars, and automotive safety. The research projects and faculty engaged in the TRI/U-M partnership can be viewed at the links below.

Current Research Project Proposal Summaries

Completed Research Project Proposals

Partner Feedback

On funding for the Toyota Professorship in artificial intelligence:
“We are honored to fund this important new professorship,” said Dr. Gill Pratt, Toyota Research Institute CEO and Toyota Motor Corporation Fellow. “AI is an extremely important tool in our toolbox and the University of Michigan is one of our most important collaborators in our joint quest to bring to market a car incapable of causing a crash.”
– Dr. Gill Pratt, Toyota Research Institute CEO and Toyota Motor Corporation Fellow

Ryan Eustice on his dual role in academia and industry:
“I get to live in both worlds and share what I know about what’s cutting edge and serve as a mentor and guide in the next frontier. I also have a lot of perspective in how industry operates, what the pace is like, and what research looks like thanks to this dual academic and corporate experience. I can easily speak to students about both.”
– Ryan Eustice, Associate Professor, College of Engineering and Senior Vice President of Automated Driving at TRI

On industry funding for Girls Encoded:
“The benefit of having companies involved is that it shows students what they can do if they choose a career in CS. The challenge becomes one of investment. If we really want the needle to change in terms of diversity in the computer science field, it takes a lot of effort. It’s all hands on deck.”
– Rada Mihalcea, Professor of Electrical Engineering and Computer Science

In the News

How Can Pedestrians Trust Autonomous Vehicles

Toyota To Build Prototype City of The Future

Guardian/Chauffeur Autonomous Vehicle Platform Demonstration

U-M, Toyota Research Institute Partner in $2.4m Battery Project

The Lab Making Robots Walk Through Fire and Ride Segways

CES 2020 Toyota Press Conference Akio Toyoda Remarks

TRI’s Presentation at The 2019 Consumer Electronics Show

U-M Prof. Puts Robot Bird Through Its Paces

Steering Committee

Norikazu (Jack) Endo
Senior Executive, Development of Artificial Intelligence into Automated Driving System and Connected Vehicle System, Toyota Research Institute

Gill Pratt
Chief Executive Officer of Toyota Research Institute (TRI) and a Fellow of Toyota Motor Corporation

Jessy W. Grizzle
Elmer G. Gilbert Distinguished University Professor Jerry W. and Carol L. Levin Professor of Engineering, Director of Robotics

Satinder Singh
Toyota Professor of Artificial Intelligence and Professor, Computer Science & Engineering

Staff

Lisa Campell
Associate Director, Corporate Research Alliances, Innovation Partnerships

Theresa Lempka
Associate Director, Corporate and Foundation Relations, U-M College of Engineering

Faculty

Mohamed Abouelenien
Associate Professor, Computer and Information Science

Shan Bao
Associate Research Scientist, UMTRI Human Factors Group

Nikola Banovic
Assistant Professor, Electrical Engineering and Computer Science

Dmitry Berenson
Assistant Professor, Electrical Engineering and Computer Science

Mihai Burzo
Assistant Professor, Mechanical Engineering, UM-Flint

Jason J. Corso
Associate Professor, Electrical Engineering and Computer Science

David W. Eby
Research Professor and Head of UMTRI Behavioral Sciences Group

Tulga Ersal
Associate Research Scientist, Mechanical Engineering

Ryan Eustice
Vice President of Autonomous Driving at the Toyota Research Institute and Professor, Naval Architecture and Marine Engineering, Electrical Engineering and Computer Science, and Mechanical Engineering

Richard Frazin
Associate Research Scientist ofClimate and Space Sciences and Engineering

Fred Feng
Assistant Professor, Industrial and Manufacturing Systems Engineering, UM-Dearborn

Johann Gagnon-Bartsch
Assistant Professor, Department of Statistics

Brent Gillespie
Professor, Mechanical Engineering

Bruno J. Giordani
Professor, Neuropsychology

Sharon Glotzer
Anthony C. Lembke Department Chair of Chemical Engineering and John Werner Cahn Distinguished University Professor of Engineering

Rich Gonzalez
Director, Research Center for Group Dynamics and BioSocial Methods Collaborative, ISR; Professor of Psychology, Statistics and Marketing

Brent Griffin
Assistant Research Scientist, Electrical Engineering and Robotics

Jessy W. Grizzle
Elmer G. Gilbert Distinguished University Professor Jerry W. and Carol L. Levin Professor of Engineering Director of Robotics

Robert C. Hampshire
Assistant Research Professor, UMTRI Human Factors group

Jean-Baptiste Jeannin
Assistant Professor, Aerospace Engineering

Ilya Kolmanovsky
Professor, Aerospace Engineering

Justin Johnson
Assistant Professor, Electrical Engineering & Computer Science

Matthew Kay
Assistant Professor, School of Information

David J. LeBlanc
Associate Research Scientist, UMTRI

Wei Lu
Professor, Electrical Engineering and Computer Science

Brian Lin
Research Fellow, UMTRI’s Human Factors Group

Rada Mihalcea
Professor, Computer Science and Engineering

Lisa J. Molnar
Associate Research Scientist in UMTRI’s Behavioral Sciences Group

Emily Mower Provost
Associate Professor, Electrical Engineering and Computer Science

Yi Murphey
Professor and Associate Dean of Graduate Education and Research, UM-Dearborn

XuanLong Nguyen
Associate Professor of Statistics; Associate Professor of Electrical Engineering and Computer Science

Necmiye Ozay
Assistant Professor, Electrical Engineering and Computer Science

Dimitra Panagou
Assistant Professor, Aerospace Engineering

Huei Peng
Roger L. McCarthy Professor of Mechanical Engineering, Director of Mcity

Anuj Kumar Pradhan
Assistant Research Scientist, UMTRI Human Factors Group

Lionel Robert
Associate Professor, Information

Nadine Sarter
Director, Center for Ergonomics and COHSE Occupational Safety Engineering and Ergonomics Program and Professor, Industrial and Operations Engineering and Robotics

James R. Sayer
Director, UMTRI and Research Scientist, Human Factors Group

Satinder Singh
Professor, Computer Science & Engineering, AI-Lab Director

Jeffrey Stein
Professor, Mechanical Engineering and Associate Director, Automotive Research Center

John M. Sullivan
Associate Research Scientist and Head of UMTRI Human Factors Group

Dawn Tilbury
Professor, Mechanical Engineering and Electrical Engineering & Computer Science

Thomas F. Wenisch
Associate Professor, Electrical Engineering and Computer Science

Jessie Yang
Assistant Professor, Industrial & Operations Engineering

Shaobing Xu
Assistant Research Scientist, Mechanical Engineering & Mcity

Zhengya Zhang
Associate Professor, Electrical Engineering and Computer Science

Sze Zheng Yong
Assistant Professor, Information

Ding Zhao
Assistant Research Scientist, Mechanical Engineering

Publications

2020

Abhishek, A., Sood, H., Jeannin, J. 2020. “Formal Verification of Braking while Swerving in Automobiles.” HSCC’20.

Abhishek, A., Sood, H., Jeannin, J. 2020. “Formal Verification of Swerving Maneuvers for Car Collision Avoidance,” ACC2020.

Arwashan, M., Ge, T., Liu, Z., Ozay, N. 2020. “Driving with guardian: Blending user inputs with safety ensuring barriers.” IEEE Conference on Control Technology and Applications.

Bara, C., Papakostas, M., Mihalcea, R. 2020. “A Deep Learning Approach Towards Multimodal Stress Detection.” AAAI.

Castro, S., Azab, M., Stroud, J. Noujaim, C., Want, R. 2020. “LifeQA: A Real-life Dataset for Video Question Answering.” LREC 2020.

Da, X., Grizzle, J. 2020. “Combining Trajectory Optimization, Supervised Machine Learning, and Model Structure for Mitigating the Curse of Dimensionality in the Control of Bipedal Robots.” International Journal of Robotics Research (2019).

Dallas, J., Wurts, J., Stein, J., Ersal, T. 2020. “Contingent Nonlinear Model Predictive Control for Collision Imminent Steering in Uncertain Environments.” IFAC World Congress 2020.

Florence, V., Corso, J., Griffin, B. 2020. “Robot-Supervised Learning for Object Segmentation.” IRCA 2020.

Gan, L., Zhang, R., Grizzle, J., Eustice, R., Ghaffari, M. 2020. “Bayesian Spatial Kernel Smoothing for Scalable Dense Semantic Mapping.” IEEE Robotics and Automation Letters.

Griffin, B., Corso, J. 2020. “Learning Object Depth from Camera Motion and Video Object Segmentation” European Conference on Computer Vision (ECCV).

Griffin, B., Florence, V., Corso, J. 2019. “Video Object Segmentation-based Visual Servo Control and Object Depth Estimation on a Mobile Robot.” IEEE Winter Conference on Applications of Computer Vision (WACV) 2020.

Griffin, B., Corso, J. 2020. “Learning Object Depth from Camera Motion and Video Object Segmentation.” European Conference on Computer Vision (ECCV) 2020.

Huang, J., Grizzle, J. 2020. “Improvements to Target-Based 3D LiDAR to Camera Calibration.” IEEE-Access 2020.

Jaiswal, M., Mower Provost, E. 2019. “Privacy Enhanced Multimodal Neural Representations for Emotion Recognition.” Association for the Advancement of Artificial Intelligence (AAAI 2020).

Liao-McPherson, D., Nicotra, M., Kolmanovsky, I. 2020. “Time-distributed optimization for real-time model predictive control: Stability, robustness, and constraint satisfaction.” Automatica, vol. 117, p. 108973.

Liu, Z., Yang, L., Ozy, N. 2020. “Scalable Computation of Controlled Invariant Sets for Discrete-Time Linear Systems with Input Delays.” American Control Conference.

McConachie, D., Power, T., Mitrano, P., Berenson, D. 2020. “Learning When to Trust a Dynamics Model for Planning in Reduced State Spaces.” IEEE-RAL and ICRA.

Mower Provost, E., et al. 2020. “MuSE: a Multimodal dataset of Stressed Emotion.” International Conference on Language Resources (LREC 2020).

Murphy, Y. 2020. “Development of a Data Mining Infrastructure to Advance Knowledge of Driver Behaviors in Naturalistic Driving.” SAE Journal 2020.

Peng, X., Murhpy, Y., Liu, R., Li, Y. 2020. “Driving Maneuver Early Detection via Sequence Learning from Vehicle Signals and Video Images.” Journal of Pattern Recognition.

Qin, S., Zhu, J., Qin, J., Want, W., Zhao, D. 2020. “Attentive Neural Process Recurrent Neural Network.” NeuralPS (workshop).

Riani, K., Papakostas,M., Kokash, H., Abouelenien, M., Burzo, M., Burzo, M. “Towards Detecting Levels of Alertness in Drivers Using Multiple Modalities.” ACM PETRA conference.

Saund, B., Berenson, D. 2020. “Fast Planning Over Roadmaps via Selective Densification.” IEEE-RAL and ICRA.

Saund, B., Berenson, D. 2020. “Predicting Diverse Plausible Shape Completions from Ambiguous Depth Images.” CoRL 2020: Conference on Robotic Learning.

Sedal, A., Wineman, A. 2020. “Force Reversal and Energy Dissipation in Composite Tubes through Non-Linear Viscoelasticity of Component Materials.” Proceedings of the Royal Society A (2020).

Wang, X., Dong, Y., Zu, S., Peng, H. Wang, F., Liu, Z. 2020. “Behavioral Competence Tests for Highly Automated Vehicles.” IEEE Intelligent Vehicle Symposium 2020.

Wurts, J. Stein, J.L., Ersal, T. 2020. “Collision Imminent Steering at High Speed Using Nonlinear Model Predictive Control.” IEEE Transactions on Vehicular Technology.

Wurts, J., Stein, J., Ersal, T. 2020. “Adaptive Nonlinear Model Predictive Control for Collision Imminent Steering with Uncertain Coefficient of Friction.” American Controls Conference 2020. (IROS) IEEE/RSJ International Conference on Intelligent Robots.

Zhang, W., Wang, W., Zhao, D. 2020.”Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression.” IEEE Intelligent Symposium 2020.

Zhu, M., Ghaffar, M., Zhong, Y., Lu, P., Cao, Z., Eustice, R., Peng, H. 2020. “Monocular Depth Prediction Through Continuous 3D Loss.”

2019

Aldeneh, Z., Jaiswal, M., Picheny, M., McInnis, M., Mower Provost, M. 2019. “Identifying Mood Episodes Using Dialogue Features from Clinical Interviews”. Interspeech.

Bruder, D., Gillespie, B., Remy, C.D., Vasudevan, R. “Modeling and Control and Soft Robots Using the Koopman Operator and Model Predictive Control”. 2019. 2019 Robotics Science and Systems Conference.

Buffington, K., Wheatley, B., Habibian, S., Shin, J., Cenci, B., Christy, A. 2020. “Investigating the Mechanics of Human-Centered Soft Robotic Actuators with Finite Element Analysis.” RoboSoft 2020.

Cao, Z., Xu, S., Peng, H., Yang, D., Li, B., Feng, S., Zhao, D. 2019. “Highway Exiting Planner for Automated Vehicles Using Reinforcement Learning.” IEEE transactions on ITS.

Castillo, G., Weng, B., Hereid H., Zhang, W. “Reinforcement Learning Meets Hybrid Zero Dynamics: Towards Model-Free Control for Bipedal Walking.” IEEE International Conference on Robotics and Automation ICRA 2019.

Chen,Y., Hereid, A., Peng, H., Grizzle, J. 2019. “Synthesis of safe controller via supervised learning for truck lateral control.” IEEE Transactions on Control Systems Technology.

Chipade, V.S., Shen, Q., Huang, L., Ozay, N., Yong, S.Z., Panagou, D., “Safe Autonomous Overtaking with Intention Estimation”, Proc. European Control Conference (ECC), Napoli, Italy, June 2019.

Eby, D., Molnar, L., Zakrajsek, J., St. Louis, R., Giordani, B., Persad, C., Stent, S., Murphy, Y. 2020. “Self-Reported Driving, Functional Abilities, and Comfort between Older Adults With and Without Mild Cognitive Impairment.” International Conference on Traffic and Transport Psychology.

Guo, Y., Kalidindi, V., Arief, M., Wang, W., Zhu, J., Peng, H., Zhao, D. 2019. “Modelling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field.” 22nd IEEE Intelligent Transportation Systems Conference, ITSC 2019.

Grizzle, J. 2019. “Contact-Aided Invariant Extended Kalman Filtering for Robot State Estimation.” International Journal of Robotics Research.

Grizzle, J. “Feedback Control of a Cassie Bipedal Robot: Walking, Standing, and Riding a Segway.” American Control Conference 2019.

Hassaan, S., Shen, Q., Yong, S. 2019. “Bounded-Error Estimator Design with Missing Data Patterns via State Augmentation.” American Control Conference 2019.

Hereid, A., Harib, O., Hartley, R.,Gong, Y, Grizzle, J. “Rapid Trajectory Optimization Using C-FROST with Illustration on a Cassie-Series Dynamic Walking Biped”. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019).

Jadidi, M.G., Clark, W., Bloch, A., Eustice, R., Grizzle, J. “Continuous Direct Sparse Visual Odometry from RGB-D Images”. 2019. 2019 Robotics Science and Systems Conference.

Jaiswal, M., Aldeneh, Z., Mower Provost, E. 2019. “Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning.” ICMI 2019.

Jaiswal, M., Aldeneh, Z., Bara, C., Luo, Y., Burzo, M., Mihalcea, R., Mower Provost, E. 2019. “Muse-ing on the Impact of Utterance Ordering on Croudsourced Emotion Annotations.” International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019.

Jayaraman, S., Creech, C., Tilbury, D., Yang, X., Pradhan, A., Tsui, K., Robert, L. 2019. “Pedestrian Trust in Automated Vehicles: Role of Traffic Signal and AV Driving Behavior.” Frontiers: Robotics and AI.

Jayaraman, S., Tibury, D., Yang, X., Pradhan, A., Robert, L. 2020. “Analysis and Prediction of Pedestrian Crosswalk Behavior during Automated Vehicle Interactions.” International Conference on Robotics and Automation (ICRA) 2020.

Lasecki, W., Corso, J., et al. 2019. “Popup: Reconstructing 3D Video Using Particle Filtering to Aggregate Crowd Responses.” Intelligent User Interface (IUI) 2019.

Liao-McPherson, D., Kolmanovsky, I. 2019. “The FBstab Quadratic Programming Method Applied to Model Predictive Control: An Implicit Condensing Approach.” Conference on Decision and Control (2019).

Niu, R., Shen, Q., Yong, S.Z. 2019. “Partition-Based Parametric Active Model Discrimination Design withApplications to Driver Intention Estimation.” European Control Conference.

Peng,X., Murphey, Y., Stent, S., Li,Y., Zhao, Z.“Spatial focal loss for pedestrian detection in fisheye imagery.” IEEE Winter Conference on Applications of Computer Vision, January, 2019.

Prince, A., Jin, L., Berenson, D. 2020. “Inferring Occluded Geometry Improves Performance when Retrieving an Object from Dense Clutter.” ISRR 2019.

Rutledge, K., Yong, S.Z., and Ozay, N.“Prefix-based Bounded-error Estimation with Intermittent Observations”. American Control Conference. 2019.

Sahin, Y. E., Liu, Z., Rutledge, K.J., Panagou, D., Yong, S. Z., Ozay, N. “Intention-Aware Supervisory Control with Driving Safety Applications”, Proc. IEEE Conference on Control Technology and Applications (CCTA), Hong Kong, China, August 2019.

Saund, B., Choudhury, S., Srinivasa, S., Berenson, D. 2019. “The Blindfolded Robot : A Bayesian Approach to Planning with Contact Feedback.” ISRR 2019.

Shen, Q., Yong, S. “Robust Optimization-Based Affine Abstractions for Uncertain Affine Dynamics.“ American Control Conference 2019.

Wang, Z., Peng, H., Zhao, D. 2019. “Combining Reachability Analysis and Importance Sampling for Accelerated Evaluation of Highly Automated Vehicles at Pedestrian Crossing.”ASME Dynamic Systems and Control Conference (DSCC) 2019.”

Wurts, J., Stein, J., Ersal, T. “Minimum Slip Collision Imminent Steering in Curved Roads Using Nonlinear Model Predictive Control.” American Controls Conference 2019.

Zekany, S., Dreslinski, R., Wenisch, T. 2019. “Classifying Ego-Vehicle Road Maneuvers from Dashcam Video.” IEEE Intelligent Transportation Systems Conference 2019.”

Zhang, W., Zhu, M., Wang, W., Zhao, D. 2019. “A General Framework of Learning Multi-Vehicle Interaction Patterns from Videos.” IEEE Intelligent Transportation Systems Conference.

Zhang, B., Khorram, S., Mower Provost, E. “Exploiting Acoustic and Lexical Properties of Phenomes to Recongize Valence from Speech.” International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019.\

Zhang, B., Kong, Y., Essl, G., Mower Provost, E. 2019. “f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition.” Association for the Advancement of Artificial Intelligence (AAAI) Conference 2019.

2018

Bruder, D.,Sedal, A., Vasudevan, R., Remy, C.D. “Force Generation by Parallel Combinations of Fiber-Reinforced Fluid-Driven Actuators.” 2018. IEEE Robotics and Automation Letters.

Chou, G., Sahin,Y. E., Yang, L., Rutledge,K. J., Nilsson, P., Ozay, N. “Using control synthesis to generate corner cases: A case study on autonomous driving.”2018. EEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and EMSOFT 2018.

Cutlip, S., Bhardwaj, A., Watts, L., Gillespie, R.B. 2018. “The Effects of Transition Type and Haptic Feedback on Shared Control of a Simulated Vehicle”. Haptic Symposium 2018.

Dice, B., Ramasubramani, V., Harper, E., Spellings, M., Anderson, J., Glotzer, S. 2019. “Analyzing Particle Systems for Machine Learning and Data Visualization with freud.” SCIPY 2019.

Ding, Y., Harirchi, F., Yong, S.Z., Jacobsen, E., Ozay, N. 2018. “Optimal Input Design for Affine Model Discrimination with Applications in Intention-Aware Vehicles”. International Conference on Cyber-Physical Systems 2018.

Hartley, Rl, Jadidi, M.G., Grizzle, J., Eustice, R. “Contact-Aided Invariant Extended Kalman Filter for Legged Robot State Estimation”. RSS 2018.

Feng, F., Bao, S., Hampshire, R., and Delp, M. 2018. “Drivers Overtaking Bicyclists – An Examination Using Naturalistic Driving Data”. Accident Analysis & Prevention. 115 (2018). 98-109. DOI: 10.1016/j.aap.2018.03.010.

Han, D., Huang, L., Panagou, D. 2018.”Approximating the Region of Multi-Task Coordination via the Optimal Lyapunov-Like Barrier Function”. American Control Conference 2018.

Hartley, R. “Hybrid Contact Preintegration for Visual-Inertial-Contact State Estimation within Factor Graphs.” 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018).

Hartley, R., Mangelson, J. Gan, L., Ghaffari Jadidi, M., Walls, J., Eustice, R., Grizzle, J. 2018. “Legged Robot State-Estimation Through Combined Forward Kinematicand Preintegrated Contact Factors”. ICRA 2018.

Huang, L., Panagou D. “Hierarchical Design of Highway Merging Controller using Navigation Vector Fields under Bounded Sensing Uncertainty”, 2018 Int. Symposium on Distributed Autonomous Robotic Systems (DARS), University of Colorado Boulder, October 2018.

Jayaraman, S.K., Creech, C., Robert, L. P., Tilbury, D., Yang, X. J., Pradhan, A. and Tsui, K. 2018. “Trust in AV: An Uncertainty Reduction Model of AV-Pedestrian Interactions, Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction”. Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2018), March 5–8, 2018, Chicago, IL, USA.

Khorram, S., Jaiswal, M., Gideon, J., McInnis, M., Mower Provost, E. “The PRIORI Emotion Dataset: Linking Mood to Emotion Detected In-the-Wild. Interspeech, September 2018.

Li, S., Wang, W., Mo, Z., Zhao, D.”Cluster Naturalistic Driving Encounters Using Deep Unsupervised Learning”. IEEE Intelligent Vehicles Symposium, June 2018.

Nilsson, P., Ozay, N. “Provably-Correct Compositional Synthesis of Vehicle Safety Systems”. Safe, Autonomous and Intelligent Vehicles, Unmanned System Technologies series. Springer. 2018.

Peng, X., Liu, R., Murphey, Y.L., Stent, S., Li, Y. “Driving Maneuver Detection via Sequence Learning from Vehicle Signals and Video Images”. International Conference on Pattern Recognition, August, 2018.

Rutledge, K., Yong, S.Z., and Ozay, N.“Optimization-Based Design of Bounded-Error Estimators Robust to Missing Data”. Proc. 6th IFAC Conference on Analysis and Design of Hybrid Systems (ADHS), Oxford, UK. July 2018.

Saund, B., and Berenson, D. “Motion Planning for Manipulators in Unknown Environments with Contact Sensing Uncertainty”. International Symposium on Experimental Robotics (ISER). November 2018.

Sedal, A., Bruder, D., Bishop-Moser, J., Vasudevan, R., Kota, S. 2018. “A Continuum Model for Fiber-Reinforced Soft Robot Actuators”. ASME JMR 2018.

Singh, K., Ding, Y., Ozay, N., and Yong, S.Z. “Input Design for Nonlinear Model Discrimination via Affine Abstraction”. Proc. 6th IFAC Conference on Analysis and Design of Hybrid Systems (ADHS), Oxford, UK. July 2018.

Singh, K., Shen, Q., Yong, S. 2018. “Mesh-Based Affine Abstraction of Nonlinear Systems with Tighter Bounds”. IEEE Conference on Decision and Control (CDC), December 2018.

Spellings, M., Glotzer, S. C. “Machine learning for crystal identification and discovery”. AIChE J. 2018. DOI: 10.1002/aic.16157.

Wan, Y., Cutlip, S., Ghasemi, A., Bardwaj, A., Gillespie, R.B., Sarter, R. 2018. “Haptic Shared Control: Improving Human-Automation Collaboration in Semiautonomous Driving”. Institute of Industrial and Systems Engineering 2018.

Wang, W., Zhao, D. 2018. “Extracting Traffic Primitives Directly from Naturalistically Logged Data for Self-Driving Applications”. ICRA 2018.

Wurts, J., Stein, J., Ersal, T. 2018. “Collision Imminent Steering Using Nonlinear Model Predictive Control”. American Control Conference.

Wurts, J., Stein, J., Ersal, T. 2018.”Increasing Computational Speed of Nonlinear Model Predictive Control using Analytic Gradients of the Explicit Integration Scheme with Application to Collision Imminent Steering,” IEEE Conference on Control Technology and Applications, Copenhagen, Denmark, 2018.

Zheng, Z., Oh, J., Singh, S. 2018. “On Learning Intrinsic Rewards for Policy Gradient Methods”. NIPS (Neural Information Processing Systems) 2018.

2017