UMD Researchers to Present 16 Papers at International Robotics Conference- IROS 2020

International Conference on Intelligent Robots and Systems - From 25 Oct, 2020 until 29 Nov, 2020
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The virtual 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) brings together robotics experts from across the globe for a month of paper presentations, invited speakers, workshops, and forums.  IROS is a premier flagship academic conference in robotics.

The theme for this year is “Consumer Robots and Our Future” showcasing the cutting edge research in all areas of robotics.

A  total of 16 papers will be presented by UMD researchers of which 11 are by Computer science faculty who are also part of the Maryland Robotics Center (MRC). 

The conference is free to access with presentations and workshops on demand providing attendees to view the research they desire at any time.

We list papers to be presented below:


Enhanced Transfer Learning for Autonomous Driving with Systematic Accident Simulation

Shivam Akhauri, Laura Zheng, Ming Lin 

Unsupervised Learning of Dense Optical Flow, Depth and Egomotion with Event-Based Sensors

Chengxi Ye, Anton Mitrokhin, Cornelia Fermuller, James Yorke, Yiannis Aloimonos

Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs

Rohan Chandra, Tianrui Guan, Srujan Panuganti, Trisha Mittal,  Uttaran Bhattacharya,  Aniket Bera, Dinesh Manocha

DeepMNavigate: Deep Reinforced Multi-Robot Navigation Unifying Local & Global Collision Avoidance

Qingyang Tan, Tingxiang Fan, Jia Pan, Dinesh Manocha

Frozone: Freezing-Free, Pedestrian-Friendly Navigation in Human Crowds

Adarsh Jagan Sathyamoorthy, Utsav Patel, Tianrui Guan, Dinesh Manocha

CMetric: A Driving Behavior Measure Using Centrality Functions

Rohan Chandra, Uttaran Bhattacharya,  Trisha Mittal, Aniket Bera, Dinesh Manocha

 New Formulation of Mixed-Integer Conic Programming for Globally Optimal Grasp Planning

Min Liu, Zherong Pan, Kai Xu, Dinesh Manocha

ProxEmo: Gait-Based Emotion Learning andMulti-View Proxemic Fusion for Socially-Aware Robot Navigation

Venkatraman Narayanan, Bala Murali Manoghar, Vishnu Sashank Dorbala,  Dinesh Manocha, Aniket Bera

Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles

Vishnu Sharma, Maymoonah Toubeh, Lifeng Zhou, Pratap Tokekar

Multi-Robot Coordinated Planning in Confined Environments under Kinematic Constraints

Clayton Mangette, Pratap Tokekar

Crop Height and Plot Estimation for Phenotyping from Unmanned Aerial Vehicles using 3D LiDAR

Harnaik Dhami, Kevin Yu, Tianshu Xu, Qian Zhu, Kshitiz Dhakal, James Friel, Song Li, Pratap Tokekar

3D Printed Bio-Inspired Hair Sensor for Directional Airflow Sensing

Keshav Rajasekaran, Hyung Dae Bae, Sarah Bergbreiter, Miao Yu

A Human-Robot Interface based on Surface Electroencephalographic Sensors

Christos N. Mavridis, John S. Baras, and Kostas J. Kyriakopoulos

Towards Autonomous Control of Magnetic Suture Needles

Matthew Fan, Xiaolong Liu, Kamakshi Jain, Daniel Lerner, Lamar Mair, Weinberg Irving, Yancy Diaz-Mercado, Axel Krieger

Operational Space Formulation and Inverse Kinematics for an Arm Exoskeleton with Scapula Rotation

Craig Carignan, Daniil Gribok, Tuvia Rappaport, and Natalie Condzal

Communication Maintenance of Robotic ParasiticAntenna Arrays

Jeffrey Twigg, Nikhil Chopra, Brian M.Sadler


The Department welcomes comments, suggestions and corrections.  Send email to editor [-at-] cs [dot] umd [dot] edu.