7 papers · 1 filter
TRACE: Ergodic Trajectory Optimization for Active Scene Reconstruction
Ziyue Zheng, Linli Shi, Bingkun He +2
Existing active reconstruction systems with Gaussian-splatting maps select observations greedily, optimizing a single next-best-view (NBV) at each step and connecting the chosen vi…
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…
HELIOS: Hierarchical Exploration for Language-Grounded Interaction in Open Scenes
Katrina Ashton, Chahyon Ku, Shrey Shah +5
Language-specified mobile manipulation tasks in novel environments simultaneously face challenges interacting with a scene which is only partially observed, grounding semantic info…
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…
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…