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The 2021 International Conference on Robotics and Automation (ICRA 2021) will be held both in person and online from May 30 to June 5, 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 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
Adaptive Tracking Control of Soft Robots using Integrated Sensing Skins and Recurrent Neural Networks
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
DWA-RL: Dynamically Feasible Deep Reinforcement Learning Policy for Robot Navigation among Mobile Obstacles
U. Patel, N. Kumar, A. Jagan, and D. Manocha
Environmental Hotspot Identification in Limited Time with a UAV Equipped with a Downward-Facing Camera
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
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