4 citations · 8 across the 12 of their papers we have counts for
12 papers
EBT-Policy: Energy Unlocks Emergent Physical Reasoning Capabilities
Travis Davies, Yiqi Huang, Alexi Gladstone +5
Implicit policies parameterized by generative models, such as Diffusion Policy, have become the standard for policy learning and Vision-Language-Action (VLA) models in robotics. Ho…
Tenma: Robust Cross-Embodiment Robot Manipulation with Diffusion Transformer
Travis Davies, Yiqi Huang, Yunxin Liu +3
Scaling Transformer policies and diffusion models has advanced robotic manipulation, yet combining these techniques in lightweight, cross-embodiment learning settings remains chall…
Spatial RoboGrasp: Generalized Robotic Grasping Control Policy
Yiqi Huang, Travis Davies, Jiahuan Yan +3
Achieving generalizable and precise robotic manipulation across diverse environments remains a critical challenge, largely due to limitations in spatial perception. While prior imi…
CoinRobot: Generalized End-to-end Robotic Learning for Physical Intelligence
Yu Zhao, Huxian Liu, Xiang Chen +3
Physical intelligence holds immense promise for advancing embodied intelligence, enabling robots to acquire complex behaviors from demonstrations. However, achieving generalization…
STRIDE: Automating Reward Design, Deep Reinforcement Learning Training and Feedback Optimization in Humanoid Robotics Locomotion
Zhenwei Wu, Jinxiong Lu, Yuxiao Chen +3
Humanoid robotics presents significant challenges in artificial intelligence, requiring precise coordination and control of high-degree-of-freedom systems. Designing effective rewa…
RoboGrasp: A Universal Grasping Policy for Robust Robotic Control
Yiqi Huang, Travis Davies, Jiahuan Yan +3
Imitation learning and world models have shown significant promise in advancing generalizable robotic learning, with robotic grasping remaining a critical challenge for achieving p…
Spatially Visual Perception for End-to-End Robotic Learning
Travis Davies, Jiahuan Yan, Xiang Chen +4
Recent advances in imitation learning have shown significant promise for robotic control and embodied intelligence. However, achieving robust generalization across diverse mounted…
Generalized Robot Learning Framework
Jiahuan Yan, Zhouyang Hong, Yu Zhao +4
Imitation based robot learning has recently gained significant attention in the robotics field due to its theoretical potential for transferability and generalizability. However, i…
VisionGPT-3D: A Generalized Multimodal Agent for Enhanced 3D Vision Understanding
Chris Kelly, Luhui Hu, Jiayin Hu +7
The evolution of text to visual components facilitates people's daily lives, such as generating image, videos from text and identifying the desired elements within the images. Comp…
VisionGPT: Vision-Language Understanding Agent Using Generalized Multimodal Framework
Chris Kelly, Luhui Hu, Bang Yang +7
With the emergence of large language models (LLMs) and vision foundation models, how to combine the intelligence and capacity of these open-sourced or API-available models to achie…
WorldGPT: A Sora-Inspired Video AI Agent as Rich World Models from Text and Image Inputs
Deshun Yang, Luhui Hu, Yu Tian +5
Several text-to-video diffusion models have demonstrated commendable capabilities in synthesizing high-quality video content. However, it remains a formidable challenge pertaining…
UnifiedVisionGPT: Streamlining Vision-Oriented AI through Generalized Multimodal Framework
Chris Kelly, Luhui Hu, Cindy Yang +6
In the current landscape of artificial intelligence, foundation models serve as the bedrock for advancements in both language and vision domains. OpenAI GPT-4 has emerged as the pi…