activity
20222026
most citedCoGrasp: 6-DoF Grasp Generation for Human-Robot Collaboration

1 citations · 1 across the 6 of their papers we have counts for

collaborators
Showing cs.ROShow all

8 papers · 1 filter

cs.RO2026

Coordinated Motion Planning for Multi-Arm Systems via Iterative LQ Games

Junyoung Kim, Hanwen Ren, Lei Zhang +1

Multi-agent motion planning for high-degree-of-freedom robotics manipulators in shared workspaces remains a fundamental yet challenging problem. Centralized planners often suffer f…

cs.RO2026

Multi-Agent Monte Carlo Tree Search for Makespan-Efficient Object Rearrangement in Cluttered Spaces

Hanwen Ren, Junyong Kim, Aathman Tharmasanthiran +1

Object rearrangement planning in complex, cluttered environments is a common challenge in warehouses, households, and rescue sites. Prior studies largely address monotone instances…

cs.RO2025

Multimodal Human-Intent Modeling for Contextual Robot-to-Human Handovers of Arbitrary Objects

Lucas Chen, Guna Avula, Hanwen Ren +2

Human-robot object handover is a crucial element for assistive robots that aim to help people in their daily lives, including elderly care, hospitals, and factory floors. The exist…

cs.RO2025

Physics-informed Neural Time Fields for Prehensile Object Manipulation

Hanwen Ren, Ruiqi Ni, Ahmed H. Qureshi

Object manipulation skills are necessary for robots operating in various daily-life scenarios, ranging from warehouses to hospitals. They allow the robots to manipulate the given o…

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…