2 citations · 4 across the 9 of their papers we have counts for
10 papers
Learning to Explore Hidden Kinematics for Articulated Object Manipulation
Ruiyao Liu, Boshu Lei, Zhuoyang Pan +1
The kinematics of an articulated object is often ambiguous from vision alone. Interaction resolves the ambiguity, and active perception methods exploit this by searching for the si…
Reinforcement Learning for Flow-Matching Policies with Density Transport
Boshu Lei, Kostas Daniilidis, Antonio Loquercio
We present an online reinforcement learning (RL) algorithm for fine-tuning flow-matching policies in continuous-control problems. Our key insight is to view RL-based policy improve…
ActiveGrasp: Information-Guided Active Grasping with Calibrated Energy-based Model
Boshu Lei, Wen Jiang, Kostas Daniilidis
Grasping in a densely cluttered environment is a challenging task for robots. Previous methods tried to solve this problem by actively gathering multiple views before grasp pose ge…
Active Next-Best-View Optimization for Risk-Averse Path Planning
Amirhossein Mollaei Khass, Guangyi Liu, Vivek Pandey +4
Safe navigation in uncertain environments requires planning methods that integrate risk aversion with active perception. In this work, we present a unified framework that refines a…
TensorTouch: Calibration of Tactile Sensors for High Resolution Stress Tensor and Deformation for Dexterous Manipulation
Won Kyung Do, Matthew Strong, Aiden Swann +2
Advanced dexterous manipulation involving multiple simultaneous contacts across different surfaces, like pinching coins from ground or manipulating intertwined objects, remains cha…
Multimodal LLM Guided Exploration and Active Mapping using Fisher Information
Wen Jiang, Boshu Lei, Katrina Ashton +1
We present an active mapping system that plans for both long-horizon exploration goals and short-term actions using a 3D Gaussian Splatting (3DGS) representation. Existing methods…
Next Best Sense: Guiding Vision and Touch with FisherRF for 3D Gaussian Splatting
Matthew Strong, Boshu Lei, Aiden Swann +3
We propose a framework for active next best view and touch selection for robotic manipulators using 3D Gaussian Splatting (3DGS). 3DGS is emerging as a useful explicit 3D scene rep…
Beyond Uncertainty: Risk-Aware Active View Acquisition for Safe Robot Navigation and 3D Scene Understanding with FisherRF
Guangyi Liu, Wen Jiang, Boshu Lei +3
The active view acquisition problem has been extensively studied in the context of robot navigation using NeRF and 3D Gaussian Splatting. To enhance scene reconstruction efficiency…
FisherRF: Active View Selection and Uncertainty Quantification for Radiance Fields using Fisher Information
Wen Jiang, Boshu Lei, Kostas Daniilidis
This study addresses the challenging problem of active view selection and uncertainty quantification within the domain of Radiance Fields. Neural Radiance Fields (NeRF) have greatl…
Multi-Risk-RRT: An Efficient Motion Planning Algorithm for Robotic Autonomous Luggage Trolley Collection at Airports
Zhirui Sun, Boshu Lei, Peijia Xie +4
Robots have become increasingly prevalent in dynamic and crowded environments such as airports and shopping malls. In these scenarios, the critical challenges for robot navigation…