1 citations · 1 across the 2 of their papers we have counts for
4 papers
ARISE: Adaptive Agentic Reasoning with Image-grounded Self-Evaluation for Interpretable IBD Assessment
Pronoma Banerjee, Anuva Shah, Jason Wu +4
Inflammatory bowel disease (IBD) requires frequent imaging-based assessment, yet interpretation of modalities such as wireless capsule endoscopy (WCE) and intestinal ultrasound rem…
Bellman Meets Lyapunov: Unsupervised Reinforcement Learning via Mastering Chaos
Tristan Shah, Wooyoung Chung, Volodomyr Makarenko +2
Reinforcement learning (RL) is a powerful paradigm for training agents, yet its success rests on domain expertise of human engineers who design informative reward signals for every…
Beyond Pairwise Feedback: Listwise Vision-Language Supervision for Preference-Based Reward Learning
Srivalli Katkuri, Maxwell Kawada, Juan Wachs
Vision-language models (VLMs) have emerged as a powerful source of supervision for reinforcement learning, enabling agents to leverage rich semantic knowledge during training. Insp…
A Magnetic-Actuated Vision-Based Whisker Array for Contact Perception and Grasping
Zhixian Hu, Juan Wachs, Yu She
Tactile sensing and the manipulation of delicate objects are critical challenges in robotics. This study presents a vision-based magnetic-actuated whisker array sensor that integra…