MRC Faculty and Researchers to Present 16 Papers at International Robotics Conference - IROS 2020

International Conference on Intelligent Robots and Systems - From 25 October 2020 until 29 November 2020

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 MRC faculty and researchers.

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

MRC IROS 2020 papers:

Enhanced Transfer Learning for Autonomous Driving with Systematic Accident Simulation
Shivam Akhauri, Laura Zheng, and Ming Lin

Unsupervised Learning of Dense Optical Flow, Depth and Egomotion with Event-Based Sensors
Chengxi Ye, Anton Mitrokhin, Cornelia Fermuller, James Yorke, and 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, and Dinesh Manocha

DeepMNavigate: Deep Reinforced Multi-Robot Navigation Unifying Local & Global Collision Avoidance
Qingyang Tan, Tingxiang Fan, Jia Pan, and Dinesh Manocha

Frozone: Freezing-Free, Pedestrian-Friendly Navigation in Human Crowds
Adarsh Jagan Sathyamoorthy, Utsav Patel, Tianrui Guan, and Dinesh Manocha

CMetric: A Driving Behavior Measure Using Centrality Functions
Rohan Chandra, Uttaran Bhattacharya, Trisha Mittal, Aniket Bera, and Dinesh Manocha

New Formulation of Mixed-Integer Conic Programming for Globally Optimal Grasp Planning
Min Liu, Zherong Pan, Kai Xu, and 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, and Aniket Bera

Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles
Vishnu Sharma, Maymoonah Toubeh, Lifeng Zhou, and Pratap Tokekar

Multi-Robot Coordinated Planning in Confined Environments under Kinematic Constraints
Clayton Mangette and 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, and Pratap Tokekar

3D Printed Bio-Inspired Hair Sensor for Directional Airflow Sensing
Keshav Rajasekaran, Hyung Dae Bae, Sarah Bergbreiter, and 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, and 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 Parasitic Antenna Arrays
Jeffrey Twigg, Nikhil Chopra, and Brian M. Sadler

Published October 28, 2020