14 citations · 26 across the 15 of their papers we have counts for
12 papers · 1 filter
Integration of Robot and Scene Kinematics for Sequential Mobile Manipulation Planning
Ziyuan Jiao, Yida Niu, Zeyu Zhang +5
We present a Sequential Mobile Manipulation Planning (SMMP) framework that can solve long-horizon multi-step mobile manipulation tasks with coordinated whole-body motion, even when…
M2Diffuser: Diffusion-based Trajectory Optimization for Mobile Manipulation in 3D Scenes
Sixu Yan, Zeyu Zhang, Muzhi Han +7
Recent advances in diffusion models have opened new avenues for research into embodied AI agents and robotics. Despite significant achievements in complex robotic locomotion and sk…
M3Bench: Benchmarking Whole-body Motion Generation for Mobile Manipulation in 3D Scenes
Zeyu Zhang, Sixu Yan, Muzhi Han +4
We propose M3Bench, a new benchmark for whole-body motion generation in mobile manipulation tasks. Given a 3D scene context, M3Bench requires an embodied agent to reason about its…
Flight Structure Optimization of Modular Reconfigurable UAVs
Yao Su, Ziyuan Jiao, Zeyu Zhang +4
This paper presents a Genetic Algorithm (GA) designed to reconfigure a large group of modular Unmanned Aerial Vehicles (UAVs), each with different weights and inertia parameters, i…
LLM3:Large Language Model-based Task and Motion Planning with Motion Failure Reasoning
Shu Wang, Muzhi Han, Ziyuan Jiao +4
Conventional Task and Motion Planning (TAMP) approaches rely on manually crafted interfaces connecting symbolic task planning with continuous motion generation. These domain-specif…
Part-level Scene Reconstruction Affords Robot Interaction
Zeyu Zhang, Lexing Zhang, Zaijin Wang +5
Existing methods for reconstructing interactive scenes primarily focus on replacing reconstructed objects with CAD models retrieved from a limited database, resulting in significan…
Sequential Manipulation Planning on Scene Graph
Ziyuan Jiao, Yida Niu, Zeyu Zhang +3
We devise a 3D scene graph representation, contact graph+ (cg+), for efficient sequential task planning. Augmented with predicate-like attributes, this contact graph-based represen…
Understanding Physical Effects for Effective Tool-use
Zeyu Zhang, Ziyuan Jiao, Weiqi Wang +3
We present a robot learning and planning framework that produces an effective tool-use strategy with the least joint efforts, capable of handling objects different from training. L…
Consolidating Kinematic Models to Promote Coordinated Mobile Manipulations
Ziyuan Jiao, Zeyu Zhang, Xin Jiang +4
We construct a Virtual Kinematic Chain (VKC) that readily consolidates the kinematics of the mobile base, the arm, and the object to be manipulated in mobile manipulations. Accordi…
Efficient Task Planning for Mobile Manipulation: a Virtual Kinematic Chain Perspective
Ziyuan Jiao, Zeyu Zhang, Weiqi Wang +4
We present a Virtual Kinematic Chain (VKC) perspective, a simple yet effective method, to improve task planning efficacy for mobile manipulation. By consolidating the kinematics of…
Reconstructing Interactive 3D Scenes by Panoptic Mapping and CAD Model Alignments
Muzhi Han, Zeyu Zhang, Ziyuan Jiao +4
In this paper, we rethink the problem of scene reconstruction from an embodied agent's perspective: While the classic view focuses on the reconstruction accuracy, our new perspecti…
Human-Robot Interaction in a Shared Augmented Reality Workspace
Shuwen Qiu, Hangxin Liu, Zeyu Zhang +2
We design and develop a new shared Augmented Reality (AR) workspace for Human-Robot Interaction (HRI), which establishes a bi-directional communication between human agents and rob…