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相关论文: Dynamic Mobile Manipulation via Whole-Body Bilater…

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Humanoid robots can support human workers in physically demanding environments by performing tasks that require whole-body coordination, such as lifting and transporting heavy objects.These tasks, which we refer to as Dynamic Mobile…

机器人学 · 计算机科学 2025-05-27 Amartya Purushottam , Jack Yan , Christopher Yu , Joao Ramos

Remote-controlled humanoid robots can revolutionize manufacturing, construction, and healthcare industries by performing complex or dangerous manual tasks traditionally done by humans. We refer to these behaviors as Dynamic…

机器人学 · 计算机科学 2024-07-18 Amartya Purushottam , Jack Yan , Christopher Xu , Youngwoo Sim , Joao Ramos

Robotic systems that can dynamically combine manipulation and locomotion could facilitate dangerous or physically demanding labor. For instance, firefighter humanoid robots could leverage their body by leaning against collapsed building…

机器人学 · 计算机科学 2022-03-08 Amartya Purushottam , Yeongtae Jung , Kevin Murphy , Donghoon Baek , Joao Ramos

Bilateral teleoperation provides humanoid robots with human planning intelligence while enabling the human to feel what the robot feels. It has the potential to transform physically capable humanoid robots into dynamically intelligent ones.…

机器人学 · 计算机科学 2021-09-10 Sunyu Wang , Joao Ramos

Humanoid robot teleoperation allows humans to integrate their cognitive capabilities with the apparatus to perform tasks that need high strength, manoeuvrability and dexterity. This paper presents a framework for teleoperation of humanoid…

Current approaches for humanoid whole-body manipulation, primarily relying on teleoperation or visual sim-to-real reinforcement learning, are hindered by hardware logistics and complex reward engineering. Consequently, demonstrated…

Whole-body manipulation (WBM) for humanoid robots presents a promising approach for executing embracing tasks involving bulky objects, where traditional grasping relying on end-effectors only remains limited in such scenarios due to…

机器人学 · 计算机科学 2025-09-18 Chunxin Zheng , Kai Chen , Zhihai Bi , Yulin Li , Liang Pan , Jinni Zhou , Haoang Li , Jun Ma

Humanoid robots hold great potential to perform various human-level skills, involving unified locomotion and manipulation in real-world settings. Driven by advances in machine learning and the strength of existing model-based approaches,…

This paper presents an object-aware whole-body bilateral teleoperation framework for wheeled humanoid loco-manipulation. This framework combines whole-body bilateral teleoperation with an online multi-stage object inertial parameter…

机器人学 · 计算机科学 2025-08-14 Donghoon Baek , Amartya Purushottam , Jason J. Choi , Joao Ramos

Bimanual handovers are crucial for transferring large, deformable or delicate objects. This paper proposes a framework for generating kinematically constrained human-like bimanual robot motions to ensure seamless and natural robot-to-human…

In this work, we present a control framework to effectively maneuver wheelchairs with a dynamically stable mobile manipulator. Wheelchairs are a type of nonholonomic cart system, maneuvering such systems with mobile manipulators (MM) is…

机器人学 · 计算机科学 2024-04-23 Cunxi Dai , Xiaohan Liu , Roberto Shu , Ralph Hollis

This paper presents a multi-contact motion adaptation framework that enables teleoperation of high degree-of-freedom (DoF) robots, such as quadrupeds and humanoids, for loco-manipulation tasks in multi-contact settings. Our proposed…

机器人学 · 计算机科学 2022-06-02 Quentin Rouxel , Kai Yuan , Ruoshi Wen , Zhibin Li

Humans' ability to smoothly switch between locomotion and manipulation is a remarkable feature of sensorimotor coordination. Leaning and replication of such human-like strategies can lead to the development of more sophisticated robots…

机器人学 · 计算机科学 2024-02-22 Jianzhuang Zhao , Francesco Tassi , Yanlong Huang , Elena De Momi , Arash Ajoudani

This paper investigates humanoid whole-body dexterous manipulation, where the efficient collection of high-quality demonstration data remains a central bottleneck. Existing teleoperation systems often suffer from limited portability,…

机器人学 · 计算机科学 2026-03-16 Liang Heng , Yihe Tang , Jiajun Xu , Henghui Bao , Di Huang , Yue Wang

Motion imitation is a pivotal and effective approach for humanoid robots to achieve a more diverse range of complex and expressive movements, making their performances more human-like. However, the significant differences in kinematics and…

机器人学 · 计算机科学 2025-08-04 Zhenghan Chen , Haodong Zhang , Dongqi Wang , Jiyu Yu , Haocheng Xu , Yue Wang , Rong Xiong

A motion-based control interface promises flexible robot operations in dangerous environments by combining user intuitions with the robot's motor capabilities. However, designing a motion interface for non-humanoid robots, such as…

机器人学 · 计算机科学 2022-04-29 Sunwoo Kim , Maks Sorokin , Jehee Lee , Sehoon Ha

Teleoperation of humanoid robots has long been a challenging domain, necessitating advances in both hardware and software to achieve seamless and intuitive control. This paper presents an integrated solution based on several elements:…

This paper explores the possibility of improving bilateral robot manipulation task performance through optimizing the robot morphology and configuration of the system through motion. To optimize the design for different scenarios, we select…

机器人学 · 计算机科学 2020-05-05 Lasitha Wijayarathne , Juan Vallejo , Anthony Barnum , Zachary Cloutier , Frank L. Hammond

Loco-manipulation is a fundamental challenge for humanoid robots to achieve versatile interactions in human environments. Although recent studies have made significant progress in humanoid whole-body control, loco-manipulation remains…

机器人学 · 计算机科学 2025-10-14 Yuhui Fu , Feiyang Xie , Chaoyi Xu , Jing Xiong , Haoqi Yuan , Zongqing Lu

Throwing with a legged robot involves precise coordination of object manipulation and locomotion - crucial for advanced real-world interactions. Most research focuses on either manipulation or locomotion, with minimal exploration of tasks…

机器人学 · 计算机科学 2025-04-02 Humphrey Munn , Brendan Tidd , Peter Böhm , Marcus Gallagher , David Howard
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