3 papers
cs.RO2026
MA-LIPP: Cooperative Multi-Agent Load-Aware Informative Path Planning for Heterogeneous Robot Teams
Hojune Kim, Guangyao Shi, Gaurav S. Sukhatme
Field robotics missions often require physical samples to be returned to laboratories for analysis, making path planning inherently load-aware and order-dependent as accumulated sa…
cs.RO2026
LEGS: Fine-Tuning Teleop-Free VLAs for Humanoid Loco-manipulation in an Embodied Gaussian Splatting World
Hojune Kim, Timothy Chen, Jiankai Sun +4
Training vision-language-action (VLA) policies for humanoid loco-manipulation is constrained by the high cost and complexity of collecting human teleoperation demonstrations. VLA p…
cs.RO2026
LIPP: Load-Aware Informative Path Planning with Physical Sampling
Hojune Kim, Guangyao Shi, Gaurav S. Sukhatme
In classical Informative Path Planning (C-IPP), robots are typically modeled as mobile sensors that acquire digital measurements such as images or radiation levels. In this model,…