1 citations · 2 across the 11 of their papers we have counts for
11 papers
Safe Obstacle-Free Guidance of Space Manipulators in Debris Removal Missions via Deep Reinforcement Learning
Vincent Lam, Robin Chhabra
The objective of this study is to develop a model-free workspace trajectory planner for space manipulators using a Twin Delayed Deep Deterministic Policy Gradient (TD3) agent to en…
Learning to Crawl: Latent Model-Based Reinforcement Learning for Soft Robotic Adaptive Locomotion
Vaughn Gzenda, Robin Chhabra
Soft robotic crawlers are mobile robots that utilize soft body deformability and compliance to achieve locomotion through surface contact. Designing control strategies for such sys…
ARRC: Advanced Reasoning Robot Control - Knowledge-Driven Autonomous Manipulation Using Retrieval-Augmented Generation
Eugene Vorobiov, Ammar Jaleel Mahmood, Salim Rezvani +1
We present ARRC (Advanced Reasoning Robot Control), a practical system that connects natural-language instructions to safe local robotic control by combining Retrieval-Augmented Ge…
Correlation-Aware Dual-View Pose and Velocity Estimation for Dynamic Robotic Manipulation
Mahboubeh Zarei, Robin Chhabra, Farrokh Janabi-Sharifi
Accurate pose and velocity estimation is essential for effective spatial task planning in robotic manipulators. While centralized sensor fusion has traditionally been used to impro…
Robust Visual Embodiment: How Robots Discover Their Bodies in Real Environments
Salim Rezvani, Ammar Jaleel Mahmood, Robin Chhabra
Robots with internal visual self-models promise unprecedented adaptability, yet existing autonomous modeling pipelines remain fragile under realistic sensing conditions such as noi…
An Amphibious Untethered Inchworm Soft Robot for Fast Crawling Locomotion
Mohammadjavad Javadi, Charlie Wadds, Robin Chhabra
Untethered soft robots are essential for advancing the real-world deployment of soft robotic systems in diverse and multitasking environments. Inspired by soft-bodied inchworm, we…