2 citations · 2 across the 3 of their papers we have counts for
4 papers · 1 filter
SUAVE: Unified Video-Action Models via Masked Diffusion
Rhythm Syed, Jean Mercat, Sedrick Keh +5
Vision-language-action models (VLAs) inherit strong semantic grounding from pretrained vision-language backbones but are typically optimized for predicting actions rather than futu…
Interactive World Simulator for Robot Policy Training and Evaluation
Yixuan Wang, Rhythm Syed, Fangyu Wu +7
Action-conditioned video prediction models (often referred to as world models) have shown strong potential for robotics applications, but existing approaches are often slow and str…
Guided Deep Reinforcement Learning for Articulated Swimming Robots
Jiaheng Hu, Tony Dear
Deep reinforcement learning has recently been applied to a variety of robotics applications, but learning locomotion for robots with unconventional configurations is still limited.…
The Geometric Structure of Externally Actuated Planar Locomoting Systems in Ambient Media
Blake Buchanan, Tony Dear, Scott Kelly +2
Robots often interact with the world via attached parts such as wheels, joints, or appendages. In many systems, these interactions, and the manner in which they lead to locomotion,…