2 citations · 2 across the 7 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
Anticipatory Planning for Performant Long-Lived Robot in Large-Scale Home-Like Environments
Md Ridwan Hossain Talukder, Raihan Islam Arnob, Gregory J. Stein
We consider the setting where a robot must complete a sequence of tasks in a persistent large-scale environment, given one at a time. Existing task planners often operate myopicall…
Active Information Gathering for Long-Horizon Navigation Under Uncertainty by Learning the Value of Information
Raihan Islam Arnob, Gregory J. Stein
We address the task of long-horizon navigation in partially mapped environments for which active gathering of information about faraway unseen space is essential for good behavior.…
Improving Reliable Navigation under Uncertainty via Predictions Informed by Non-Local Information
Raihan Islam Arnob, Gregory J. Stein
We improve reliable, long-horizon, goal-directed navigation in partially-mapped environments by using non-locally available information to predict the goodness of temporally-extend…