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Humanoid robots have the potential to help human workers by realizing physically demanding manipulation tasks such as moving large boxes within warehouses. We define such tasks as Dynamic Mobile Manipulation (DMM). This paper presents a…

机器人学 · 计算机科学 2023-07-06 Amartya Purushottam , Yeongtae Jung , Christopher Xu , 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

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

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

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…

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…

Humanoid robots deployed in industrial environments are required to perform load-carrying transportation tasks that tightly couple locomotion and manipulation. However, achieving stable and robust locomotion under varying payloads and…

机器人学 · 计算机科学 2026-03-17 Lequn Fu , Yijun Zhong , Xiao Li , Yibin Liu , Zhiyuan Xu , Jian Tang , Shiqi Li

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 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

Teleoperation has emerged as an alternative solution to fully-autonomous systems for achieving human-level capabilities on humanoids. Specifically, teleoperation with whole-body control is a promising hands-free strategy to command…

机器人学 · 计算机科学 2022-09-13 DongHoon Baek , Yu Chen , Chang , Joao Ramos

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

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

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:…

Shared control, which combines human expertise with autonomous assistance, is critical for effective teleoperation in complex environments. While recent advances in haptic-guided teleoperation have shown promise, they are often limited to…

机器人学 · 计算机科学 2025-06-17 V. Sripada , A. Khan , J. Föcker , S. Parsa , Susmitha P , H Maior , A. Ghalamzan-E

Collaborative robots can relief human operators from excessive efforts during payload lifting activities. Modelling the human partner allows the design of safe and efficient collaborative strategies. In this paper, we present a control…

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

Humanoids are versatile robotic platforms owing to their limbs with multiple degrees of freedom. Although humanoids can walk like humans, they are relatively slow, and cannot run over large barriers. To address these limitations, we aim to…

机器人学 · 计算机科学 2024-03-12 Kazuki Sugihara , Moju Zhao , Takuzumi Nishio , Tasuku Makabe , Kei Okada , Masayuki Inaba

Most telemanipulation systems for aerial robots provide the operator with only 2D screen visual information. The lack of richer information about the robot's status and environment can limit human awareness and, in turn, task performance.…

机器人学 · 计算机科学 2024-10-22 Julien Mellet , Mike Allenspach , Eugenio Cuniato , Claudio Pacchierotti , Roland Siegwart , Marco Tognon

The teleoperation of complex, kinematically redundant robots with loco-manipulation capabilities represents a challenge for human operators, who have to learn how to operate the many degrees of freedom of the robot to accomplish a desired…

Teleoperation of humanoid robots enables the integration of the cognitive skills and domain expertise of humans with the physical capabilities of humanoid robots. The operational versatility of humanoid robots makes them the ideal platform…

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