2 citations · 2 across the 11 of their papers we have counts for
11 papers
SocioGesture: Real-Time and Adaptive Social Gesture Perception for Human-Robot Interaction
Wenjin Fu, Li-Fan Wu, Jerin Peter +3
Robots interacting with people must recognize not only explicit commands, but also social cues such as invitations, refusals, and unavailability. In real deployments, these cues mu…
RTNav: Towards Real-Time Zero-Shot Object Navigation
Easop Lee, Lingyu Zhang, Boyuan Chen
Navigation in unknown environments to find unforeseen objects has become increasingly feasible with capable vision and language foundation models. However, these models also introd…
Embodied Passive Aeroacoustic Perception Enables Relative Sensing and Pursuit Between Aerial Robots
Yanbaihui Liu, Ravi Prakash, Li-Yu Lo +2
Aerial robots generate structured aeroacoustic fields during flight, yet these signals have been underexplored as a source of onboard relative perception, particularly under the st…
Learning Legged MPC with Smooth Neural Surrogates
Samuel A. Moore, Easop Lee, Boyuan Chen
Deep learning and model predictive control (MPC) can play complementary roles in legged robotics. However, integrating learned models with online planning remains challenging. When…
Sym2Real: Symbolic Dynamics with Residual Learning for Data-Efficient Adaptive Control
Easop Lee, Samuel A. Moore, Boyuan Chen
We present Sym2Real, a fully data-driven framework for highly data-efficient adaptation of low-level controllers. Although symbolic regression is data-efficient, its role in real-w…
LAPP: Large Language Model Feedback for Preference-Driven Reinforcement Learning
Pingcheng Jian, Xiao Wei, Yanbaihui Liu +3
We introduce Large Language Model-Assisted Preference Prediction (LAPP), a novel framework for robot learning that enables efficient, customizable, and expressive behavior acquisit…
Automated Global Analysis of Experimental Dynamics through Low-Dimensional Linear Embeddings
Samuel A. Moore, Brian P. Mann, Boyuan Chen
Dynamical systems theory has long provided a foundation for understanding evolving phenomena across scientific domains. Yet, the application of this theory to complex real-world sy…
Inverse Reinforcement Learning from Non-Stationary Learning Agents
Kavinayan P. Sivakumar, Yi Shen, Zachary Bell +3
In this paper, we study an inverse reinforcement learning problem that involves learning the reward function of a learning agent using trajectory data collected while this agent is…
WildFusion: Multimodal Implicit 3D Reconstructions in the Wild
Yanbaihui Liu, Boyuan Chen
We propose WildFusion, a novel approach for 3D scene reconstruction in unstructured, in-the-wild environments using multimodal implicit neural representations. WildFusion integrate…
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies
Pingcheng Jian, Easop Lee, Zachary Bell +2
Vision-based imitation learning has shown promising capabilities of endowing robots with various motion skills given visual observation. However, current visuomotor policies fail t…
Policy Stitching: Learning Transferable Robot Policies
Pingcheng Jian, Easop Lee, Zachary Bell +2
Training robots with reinforcement learning (RL) typically involves heavy interactions with the environment, and the acquired skills are often sensitive to changes in task environm…