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Boshu Lei

7 accepted papers

2026

Active Next-Best-View Optimization for Risk-Averse Path Planning

ICRA 2026poster

Safe navigation in uncertain environments requires planning methods that integrate risk aversion with active perception. In this work, we present a unified frame- work that refines a coarse reference path by construct- ing tail-sensitive risk maps from Average Value-at-Risk statistics on an online-u…

2025

Multimodal LLM Guided Exploration and Active Mapping using Fisher Information

ICCV 2025poster

We present an active mapping system that could plan for long-horizon exploration goals and short-term actions with a 3D Gaussian Splatting (3DGS) representation. Existing methods either did not take advantage of recent developments in multimodal Large Language Models (LLM) or did not consider challe…

Cited by 0SourcePDFScholar
2025

Next Best Sense: Guiding Vision and Touch with FisherRF for 3D Gaussian Splatting

ICRA 2025

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 representation for robotics, as it has the ability to represent scenes in a both photorealistic and geometrically accurate

Cited by 11SourcecodeScholar
2024

FisherRF: Active View Selection and Mapping with Radiance Fields using Fisher Information

ECCV 2024oral

"This study addresses the challenging problem of active view selection and uncertainty quantification within the domain of Radiance Fields. Neural Radiance Fields (NeRF) have greatly advanced image rendering and reconstruction, but the cost of acquiring images poses the need to select the most infor…

Cited by 5SourcePDFScholar
2024

Globalizing Local Features: Image Retrieval Using Shared Local Features with Pose Estimation for Faster Visual Localization

ICRA 2024poster

Visual localization is an important sub-task in SfM and visual SLAM that involves estimating a 6-DoF camera pose for an input query image relative to a given 3D model of the environment. The most accurate approach is a hierarchical one that splits the task into two stages: image retrieval and camera…

Cited by 0SourceScholar