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Recent advances in teleoperation have demonstrated robots performing complex manipulation tasks. However, existing works rarely support whole-body joint-level teleoperation for humanoid robots, limiting the diversity of tasks that can be…

Robotics · Computer Science 2025-09-25 Noboru Myers , Obin Kwon , Sankalp Yamsani , Joohyung Kim

Teleoperation serves as a powerful method for collecting on-robot data essential for robot learning from demonstrations. The intuitiveness and ease of use of the teleoperation system are crucial for ensuring high-quality, diverse, and…

Robotics · Computer Science 2024-07-09 Xuxin Cheng , Jialong Li , Shiqi Yang , Ge Yang , Xiaolong Wang

Teleoperation is a powerful method to generate reference motions and enable humanoid robots to perform a broad range of tasks. However, teleoperation becomes challenging when using hand contacts and non-coplanar surfaces, often leading to…

Robotics · Computer Science 2025-10-07 Stephen McCrory , Romeo Orsolino , Dhruv Thanki , Luigi Penco , Robert Griffin

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…

Teleoperated humanoid robots hold significant potential as physical avatars for humans in hazardous and inaccessible environments, with the goal of channeling human intelligence and sensorimotor skills through these robotic counterparts.…

Robotics · Computer Science 2023-07-25 Guillermo Colin , Joseph Byrnes , Youngwoo Sim , Patrick Wensing , Joao Ramos

Humanoid activities involving sequential contacts are crucial for complex robotic interactions and operations in the real world and are traditionally solved by model-based motion planning, which is time-consuming and often relies on…

Robotics · Computer Science 2024-11-08 Chong Zhang , Wenli Xiao , Tairan He , Guanya Shi

For humanoids to be deployed in demanding situations, such as search and rescue, highly intelligent decision making and proficient sensorimotor skill is expected. A promising solution is to leverage human prowess by interconnecting robot…

Robotics · Computer Science 2022-09-16 Guillermo Colin , Youngwoo Sim , Joao Ramos

Generalist humanoid motion trackers have recently achieved strong simulation metrics by scaling data and training, yet often remain brittle on hardware during sustained teleoperation due to interface- and dynamics-induced errors. We present…

Generalizable humanoid loco-manipulation poses significant challenges, requiring coordinated whole-body control and precise, contact-rich object manipulation. To address this, this paper introduces HOMIE, a semi-autonomous teleoperation…

Robotics · Computer Science 2025-04-29 Qingwei Ben , Feiyu Jia , Jia Zeng , Junting Dong , Dahua Lin , Jiangmiao Pang

In hazardous and remote environments, robotic systems perform critical tasks demanding improved safety and efficiency. Among these, quadruped robots with manipulator arms offer mobility and versatility for complex operations. However,…

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:…

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…

Robotics · Computer Science 2024-02-22 Jianzhuang Zhao , Francesco Tassi , Yanlong Huang , Elena De Momi , Arash Ajoudani

Humanoid robots could be versatile and intuitive human avatars that operate remotely in inaccessible places: the robot could reproduce in the remote location the movements of an operator equipped with a wearable motion capture device while…

Robotics · Computer Science 2022-03-29 Luigi Penco , Jean-Baptiste Mouret , Serena Ivaldi

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…

Robotics · Computer Science 2022-09-13 DongHoon Baek , Yu Chen , Chang , Joao Ramos

We tackle the problem of developing humanoid loco-manipulation skills with deep imitation learning. The difficulty of collecting task demonstrations and training policies for humanoids with a high degree of freedom presents substantial…

Robotics · Computer Science 2023-11-21 Mingyo Seo , Steve Han , Kyutae Sim , Seung Hyeon Bang , Carlos Gonzalez , Luis Sentis , Yuke Zhu

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,…

Soft robotics holds tremendous potential for various applications, especially in unstructured environments such as search and rescue operations. However, the lack of autonomy and teleoperability, limited capabilities, absence of gait…

Human-humanoid collaboration shows significant promise for applications in healthcare, domestic assistance, and manufacturing. While compliant robot-human collaboration has been extensively developed for robotic arms, enabling compliant…

Robotics · Computer Science 2025-10-17 Yushi Du , Yixuan Li , Baoxiong Jia , Yutang Lin , Pei Zhou , Wei Liang , Yanchao Yang , Siyuan Huang

Humanoid robots have achieved impressive locomotion performance, yet contact-rich and long-horizon manipulation remains a major bottleneck. Manipulation is inherently contact-rich and demands compliant whole-body control for stable…

Robotics · Computer Science 2026-05-20 Xinyuan Luo , Xingrui Chen , Xunjian Yin , Hongxuan Wu , Boxi Xia , Zhuoqun Chen , Jinzhou Li , Boyuan Chen , Xianyi Cheng

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…

Robotics · Computer Science 2022-06-02 Quentin Rouxel , Kai Yuan , Ruoshi Wen , Zhibin Li