activity
20162024
most citedConstrained Feedforward Neural Network Training via Reachability Analysis

5 citations · 7 across the 10 of their papers we have counts for

collaborators

13 papers

cs.RO2024

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…

cs.RO2024

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…

cs.RO2024

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…

cs.RO2024

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…

cs.RO20231 cited

Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure

Jiankai Sun, Shreyas Kousik, David Fridovich-Keil +1

Connected autonomous vehicles (CAVs) promise to enhance safety, efficiency, and sustainability in urban transportation. However, this is contingent upon a CAV correctly predicting…

cs.RO20221 cited

Set-Valued Shadow Matching Using Zonotopes for 3-D Map-Aided GNSS Localization

Sriramya Bhamidipati, Shreyas Kousik, Grace Gao

Unlike many urban localization methods that return point-valued estimates, a set-valued representation enables robustness by ensuring that a continuum of possible positions obeys s…