Portrait of Matthew Johnson-Roberson
Professor / Director of RI
Home Department: RI
Office: 4113 Newell-Simon Hall
Personal Homepage
Administrative Assistant: Lynnetta J. Miller
Lab: Deep Robot Optical Perception (DROP) Lab
Mailing Address

My research goal is to develop robotic systems capable of operating in complex dynamic environments. To this end, I seek to expand and improve the perceptual capabilities of autonomous systems. In my research career, I have focused on the processing and interpretation of three-dimensional data. My work has sought to push the bounds of scale and resolution in 3D reconstruction, segmentation, machine learning and robotic vision. I expect to continue to advance this research in robotic perception, which I believe has the potential to develop new robotic task domains.

 

Research Topics

Displaying 141 Publications

2021
A Kinematic Model for Trajectory Prediction in General Highway Scenarios
Cyrus Anderson, Ram Vasudevan, and M. Johnson-Roberson
Journal Article, IEEE Robotics and Automation Letters, Vol. 6, No. 4, pp. 6757 - 6764, October, 2021
Angle-Regulated Transformer Network for Pedestrian Trajectory Prediction
Xiaoxiao Du, Neha Pusalkar, Ram Vasudevan, and M. Johnson-Roberson
Workshop Paper, IJCAI '21 Artificial Intelligence for Autonomous Driving Workshop (AI4AD '21), August, 2021
Coupling Intent and Action for Pedestrian Crossing Behavior Prediction
Yu Yao, Ella Atkins, M. Johnson-Roberson, Ram Vasudevan, and Xiaoxiao Du
Conference Paper, Proceedings of 30th International Joint Conference on Artificial Intelligence (IJCAI '21), pp. 1238 - 1244, August, 2021
Detecting Generalized Replay Attacks via Time-Varying Dynamic Watermarking
M. Porter, P. Hespanhol, M. Johnson-Roberson, A. Aswani, and R. Vasudevan
Journal Article, IEEE Transactions on Automatic Control, Vol. 66, No. 8, pp. 3502 - 3517, August, 2021
Energy-Optimal Path Planning with Active Flow Perception for Autonomous Underwater Vehicles
Niankai Yang, Dongsik Chang, M. Johnson-Roberson, and Jing Sun
Conference Paper, Proceedings of (ICRA) International Conference on Robotics and Automation, pp. 9928 - 9934, May, 2021
BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal Estimation
Yu Yao, Ella Atkins, M. Johnson-Roberson, Ram Vasudevan, and Xiaoxiao Du
Journal Article, IEEE Robotics and Automation Letters, Vol. 6, No. 2, pp. 1463 - 1470, April, 2021
Point Set Voting for Partial Point Cloud Analysis
Junming Zhang, Weijia Chen, Yuping Wang, Ram Vasudevan, and M. Johnson-Roberson
Journal Article, IEEE Robotics and Automation Letters, Vol. 6, No. 2, pp. 596 - 603, April, 2021
2020
Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks
Junming Zhang, Ming-Yuan Yu, Ram Vasudevan, and M. Johnson-Roberson
Conference Paper, Proceedings of International Conference on 3D Vision (3DV '20), pp. 200 - 209, November, 2020
Parametric Design of Underwater Optical Systems
Gideon Billings, Eduardo Iscar, and M. Johnson-Roberson
Conference Paper, Proceedings of Global Oceans 2020: Singapore - U.S. Gulf Coast (OCEANS '20), October, 2020
Bridging the Gap Between Safety and Real-Time Performance in Receding-Horizon Trajectory Design for Mobile Robots
S. Kousik, S. Vaskov, F. Bu, M. Johnson-Roberson, and R. Vasudevan
Journal Article, International Journal of Robotics Research, Vol. 39, No. 12, pp. 1419 - 1469, October, 2020

current phd students

Portrait of Tianyi Zhang
Tianyi Zhang

current affiliates

Portrait of Corey Turner
Corey Turner
Portrait of Weiming Zhi
Weiming Zhi