3 papers
cs.RO2026
Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection
Abhishek Paudel, Abhish Khanal, Raihan I. Arnob +2
We present a novel LLM-informed model-based planning framework, and a novel prompt selection method, for object search in partially-known environments. Our approach uses an LLM to…
cs.RO2026
Scout-Assisted Planning for Heterogeneous Robot Teams under Partially Known Environments
Hoang-Dung Bui, Abhish Khanal, Raihan Islam Arnob +1
Autonomous robot teams navigating partially known environments face costly backtracking when ground robots encounter blocked roads that are only revealed upon physical traversal. W…
cs.RO2026
Effective Task Planning with Missing Objects using Learning-Informed Object Search
Raihan Islam Arnob, Max Merlin, Abhishek Paudel +3
Task planning for mobile robots often assumes full environment knowledge and so popular approaches, like planning via the PDDL, cannot plan when the locations of task-critical obje…