UMD Researchers to Have a Strong Showing at ICRA 2021
University of Maryland researchers will present 15 papers at the IEEE International Conference on Robotics and Automation (ICRA 2021) to be held from May 30 to June 5, 2021. ICRA is the IEEE Robotics and Automation Society’s biggest conference and the premier international forum for robotics researchers to present and discuss their work. The conference will be held in a hybrid format with virtual and in-person sessions to be held at the Xi’an International Convention and Exhibition Center in Xi’an, China. University of Maryland researchers, including Distinguished University Professor Dinesh Manocha (ECE/CS/UMIACS/ISR/MRC), and affiliate ECE faculty members Yiannis Aloimonos, Tom Goldstein, Ming C. Lin, Elisabeth Smela, and Pratap Tokekar, will present their work on a wide variety of topics such as deep reinforcement learning, multi-agent coordination, autonomous navigation, robot perception, and even detecting and counting oysters. The UMD researchers continue with the trend of strong presence at the International conferences with 14 papers published at ICRA-2020 and 16 papers at IROS 2020.
List of papers 0-MMS: Zero-Shot Multi-Motion Segmentation With A Monocular Event Camera C. Parameshwara, N. Sanket, C. Singh CD, C. Fermüller, Y. Aloimonos Lasitha Weerakoon, Zepeng Ye , Rahul Subramonian Bama, Elisabeth Smela, Miao Yu and Nikhil Chopra Adversarial Differentiable Data Augmentation for Autonomous Systems Manli Shu, Yu Shen, Ming C. Lin and Tom Goldstein Can a Robot Trust You? A DRL-Based Approach to Personality-Driven, Human-Guided Navigation Vishnu Sashank Dorbala, Arjun Ambalam, Aniket Bera Communication-Aware Multi-robot Coordination with Submodular Maximization Guangyao Shi, Md. Ishat-E-Rabban, Lifeng Zhou, and Pratap Tokekar Detecting and Counting Oysters Behzad Sadrfaridpour, Yiannis Aloimonos, Mia Yu, Yang Tao, and Donal Webster U. Patel, N. Kumar, A. Jagan, and D. Manocha Yoonchang Sung, Deeksha Dixit, and Pratap Tokekar Failure-Resilient Coverage Maximization with Multiple Robots Md. Ishat-E-Rabban and Pratap Tokekar MorphEyes: Variable Baseline Stereo For Quadrotor Navigation N. Sanket, C. Singh, V. Asthana, C. Fermüller, Y. Aloimonos Multi-Agent Ergodic Coverage in Urban Environments Shivang Patel, Senthil Hariharan, Pranav Dhulipala, Ming C Lin, Dinesh Manocha, Huan "Mumu" Xu, Michael Otte No-frills Dynamic Planning using Static Planners Mara Levy, Vasista Ayyagari, Abhinav Shrivastava Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization Q. Wu, K. Xu, J. Wang, M. Xu, X. Gong, and D. Manocha SelfDeco: Self-Supervised Monocular Depth Completion in Challenging Indoor Environments J. Choi, D. Jung, Y. Lee, D. Kim, D. Manocha, and D. Lee SwarmCOO: Probabilistic Reactive Collision Avoidance for Quadrotor Swarms under Uncertainty S. Arul and D. Manocha
The ECE Department thanks Richa Mathur, UMD Department of Computer Science, for the original story.
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