4 citations · 8 across the 6 of their papers we have counts for
6 papers
PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3
Chengyang He, Tanishq Duhan, Gadiel Sznaier Camps +6
We present PRIMAL3, an ultra-large-scale learning-based framework for multi-agent pathfinding (MAPF) that integrates reinforcement learning, topology-aware communication, LaCAM3-gu…
Latent Theory of Mind: A Decentralized Diffusion Architecture for Cooperative Manipulation
Chengyang He, Gadiel Sznaier Camps, Xu Liu +2
We present Latent Theory of Mind (LatentToM), a decentralized diffusion policy architecture for collaborative robot manipulation. Our policy allows multiple manipulators with their…
Demystifying Diffusion Policies: Action Memorization and Simple Lookup Table Alternatives
Chengyang He, Xu Liu, Gadiel Sznaier Camps +2
Diffusion policies have demonstrated remarkable dexterity and robustness in intricate, high-dimensional robot manipulation tasks, while training from a small number of demonstratio…
Touch-GS: Visual-Tactile Supervised 3D Gaussian Splatting
Aiden Swann, Matthew Strong, Won Kyung Do +3
In this work, we propose a novel method to supervise 3D Gaussian Splatting (3DGS) scenes using optical tactile sensors. Optical tactile sensors have become widespread in their use…
OA-MPC: Occlusion-Aware MPC for Guaranteed Safe Robot Navigation with Unseen Dynamic Obstacles
Roya Firoozi, Alexandre Mir, Gadi Sznaier Camps +1
For safe navigation in dynamic uncertain environments, robotic systems rely on the perception and prediction of other agents. Particularly, in occluded areas where cameras and LiDA…
Learning Deep SDF Maps Online for Robot Navigation and Exploration
Gadiel Sznaier Camps, Robert Dyro, Marco Pavone +1
We propose an algorithm to (i) learn online a deep signed distance function (SDF) with a LiDAR-equipped robot to represent the 3D environment geometry, and (ii) plan collision-free…