31 citations · 58 across the 38 of their papers we have counts for
8 papers · 1 filter
RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution
Wonsuhk Jung, Dennis Anthony, Utkarsh A. Mishra +4
Imitation learning (IL) has shown great success in learning complex robot manipulation tasks. However, there remains a need for practical safety methods to justify widespread deplo…
Towards Closing the Loop in Robotic Pollination for Indoor Farming via Autonomous Microscopic Inspection
Chuizheng Kong, Alex Qiu, Idris Wibowo +5
Effective pollination is a key challenge for indoor farming, since bees struggle to navigate without the sun. While a variety of robotic system solutions have been proposed, it rem…
Guaranteed Reach-Avoid for Black-Box Systems through Narrow Gaps via Neural Network Reachability
Long Kiu Chung, Wonsuhk Jung, Srivatsank Pullabhotla +6
In the classical reach-avoid problem, autonomous mobile robots are tasked to reach a goal while avoiding obstacles. However, it is difficult to provide guarantees on the robot's pe…
Socially Acceptable Bipedal Robot Navigation via Social Zonotope Network Model Predictive Control
Abdulaziz Shamsah, Krishanu Agarwal, Nigam Katta +3
This study addresses the challenge of social bipedal navigation in a dynamic, human-crowded environment, a research area largely underexplored in legged robot navigation. We presen…
ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics
Luca Paparusso, Shreyas Kousik, Edward Schmerling +2
The past few years have seen immense progress on two fronts that are critical to safe, widespread mobile robot deployment: predicting uncertain motion of multiple agents, and plann…
Real-time Model Predictive Control with Zonotope-Based Neural Networks for Bipedal Social Navigation
Abdulaziz Shamsah, Krishanu Agarwal, Shreyas Kousik +1
This study addresses the challenge of bipedal navigation in a dynamic human-crowded environment, a research area that remains largely underexplored in the field of legged navigatio…
Mapping High-level Semantic Regions in Indoor Environments without Object Recognition
Roberto Bigazzi, Lorenzo Baraldi, Shreyas Kousik +2
Robots require a semantic understanding of their surroundings to operate in an efficient and explainable way in human environments. In the literature, there has been an extensive f…
Goal-Reaching Trajectory Design Near Danger with Piecewise Affine Reach-avoid Computation
Long Kiu Chung, Wonsuhk Jung, Chuizheng Kong +1
Autonomous mobile robots must maintain safety, but should not sacrifice performance, leading to the classical reach-avoid problem: find a trajectory that is guaranteed to reach a g…