8 papers · 1 filter
LocalNav: Distilling Frontier VLMs and Embodied RL for On-Device Object Goal Navigation
Nicolas Baumann, Liam Boyle, Pu Deng +5
Vision Language Models (VLMs) have emerged in the robotic domain as a powerful tool that enables environmental perception with language context, serving as a catalyst for open-voca…
Memory Over Maps: 3D Object Localization Without Reconstruction
Rui Zhou, Xander Yap, Jianwen Cao +3
Target localization is a prerequisite for embodied tasks such as navigation and manipulation. Conventional approaches rely on constructing explicit 3D scene representations to enab…
Sight Over Site: Perception-Aware Reinforcement Learning for Efficient Robotic Inspection
Richard Kuhlmann, Jakob Wolfram, Boyang Sun +4
Autonomous inspection is a central problem in robotics, with applications ranging from industrial monitoring to search-and-rescue. Traditionally, inspection has often been reduced…
ActLoc: Learning to Localize on the Move via Active Viewpoint Selection
Jiajie Li, Boyang Sun, Luca Di Giammarino +2
Reliable localization is critical for robot navigation, yet most existing systems implicitly assume that all viewing directions at a location are equally informative. In practice,…
ForesightNav: Learning Scene Imagination for Efficient Exploration
Hardik Shah, Jiaxu Xing, Nico Messikommer +3
Understanding how humans leverage prior knowledge to navigate unseen environments while making exploratory decisions is essential for developing autonomous robots with similar abil…
VidBot: Learning Generalizable 3D Actions from In-the-Wild 2D Human Videos for Zero-Shot Robotic Manipulation
Hanzhi Chen, Boyang Sun, Anran Zhang +2
Future robots are envisioned as versatile systems capable of performing a variety of household tasks. The big question remains, how can we bridge the embodiment gap while minimizin…