1 citations · 2 across the 10 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.RO2024
Integrating Active Sensing and Rearrangement Planning for Efficient Object Retrieval from Unknown, Confined, Cluttered Environments
Junyong Kim, Hanwen Ren, Ahmed H. Qureshi
Retrieving target objects from unknown, confined spaces remains a challenging task that requires integrated, task-driven active sensing and rearrangement planning. Previous approac…
cs.RO2024
Neural Rearrangement Planning for Object Retrieval from Confined Spaces Perceivable by Robot's In-hand RGB-D Sensor
Hanwen Ren, Ahmed H. Qureshi
Rearrangement planning for object retrieval tasks from confined spaces is a challenging problem, primarily due to the lack of open space for robot motion and limited perception. Se…
cs.RO2024
Language-guided Active Sensing of Confined, Cluttered Environments via Object Rearrangement Planning
Weihan Chen, Hanwen Ren, Ahmed H. Qureshi
Language-guided active sensing is a robotics subtask where a robot with an onboard sensor interacts efficiently with the environment via object manipulation to maximize perceptual…