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Related papers: Interaction-Aware Whole-Body Control for Compliant…

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Previous humanoid robot research works treat the robot as a bipedal mobile manipulation platform, where only the feet and hands contact the environment. However, we humans use all body parts to interact with the world, e.g., we sit in…

Robotics · Computer Science 2025-02-04 Ziwen Zhuang , Hang Zhao

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…

Robotics · Computer Science 2025-08-04 Zhenghan Chen , Haodong Zhang , Dongqi Wang , Jiyu Yu , Haocheng Xu , Yue Wang , Rong Xiong

Humanoid robots are expected to operate in human-centered environments where safe and natural physical interaction is essential. However, most recent reinforcement learning (RL) policies emphasize rigid tracking and suppress external…

Robotics · Computer Science 2025-11-07 Qingzhou Lu , Yao Feng , Baiyu Shi , Michael Piseno , Zhenan Bao , C. Karen Liu

In this paper, we introduce the humanoid robot DRACO 3 by providing a high-level description of its design and control. This robot features proximal actuation and mechanical artifacts to provide a high range of hip, knee and ankle motion.…

Robotics · Computer Science 2022-10-04 Seung Hyeon Bang , Carlos Gonzalez , Junhyeok Ahn , Nicholas Paine , Luis Sentis

Loco-manipulation, physical interaction of various objects that is concurrently coordinated with locomotion, remains a major challenge for legged robots due to the need for both precise end-effector control and robustness to unmodeled…

Robotics · Computer Science 2025-08-07 Jin Cheng , Dongho Kang , Gabriele Fadini , Guanya Shi , Stelian Coros

In this paper, we present an approach for generating a variety of whole-body motions for a humanoid robot. We extend the available Model Predictive Control (MPC) approaches for walking on flat terrain to plan for both vertical motion of the…

We study a human-robot collaborative transportation task in presence of obstacles. The task for each agent is to carry a rigid object to a common target position, while safely avoiding obstacles and satisfying the compliance and actuation…

Robotics · Computer Science 2022-07-14 Tony Zheng , Monimoy Bujarbaruah , Yvonne R. Stürz , Francesco Borrelli

Recently, many humanoid robots have been increasingly deployed in various facilities, including hospitals and assisted living environments, where they are often remotely controlled by human operators. Their kinematic redundancy enhances…

Robotics · Computer Science 2025-12-01 Nikita Boguslavskii , Lorena Maria Genua , Zhi Li

Humanoid robots show promise for complex whole-body tasks in unstructured environments. Although Human-Object Interaction (HOI) has advanced, most methods focus on fully actuated objects rigidly coupled to the robot, ignoring underactuated…

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…

Quadrupedal manipulators require to be compliant when dealing with external forces during autonomous manipulation, tele-operation or physical human-robot interaction. This paper presents a whole-body controller that allows for the…

Robotics · Computer Science 2022-08-02 Mattia Risiglione , Victor Barasuol , Darwin G. Caldwell , Claudio Semini

Impact-aware tasks (i.e. on purpose impacts) are not handled in multi-objective whole body controllers of hu-manoid robots. This leads to the fact that a humanoid robot typically operates at near-zero velocity to interact with the external…

Robotics · Computer Science 2020-05-27 Yuquan Wang , Arnaud Tanguy , Pierre Gergondet , Abderrahmane Kheddar

Can we enable humanoid robots to generate rich, diverse, and expressive motions in the real world? We propose to learn a whole-body control policy on a human-sized robot to mimic human motions as realistic as possible. To train such a…

Robotics · Computer Science 2024-03-07 Xuxin Cheng , Yandong Ji , Junming Chen , Ruihan Yang , Ge Yang , Xiaolong Wang

Amphibious legged robots inspired by salamanders are promising in applications in complex amphibious environments. However, despite the significant success of training controllers that achieve diverse locomotion behaviors in conventional…

Robotics · Computer Science 2026-03-18 Mengze Tian , Qiyuan Fu , Chuanfang Ning , Javier Jia Jie Pey , Auke Ijspeert

Achieving realistic simulations of humans interacting with a wide range of objects has long been a fundamental goal. Extending physics-based motion imitation to complex human-object interactions (HOIs) is challenging due to intricate…

Computer Vision and Pattern Recognition · Computer Science 2026-02-03 Sirui Xu , Hung Yu Ling , Yu-Xiong Wang , Liang-Yan Gui

The work presented here is a novel biological approach for the compliant control of a robotic arm in real time (RT). We integrate a spiking cerebellar network at the core of a feedback control loop performing torque-driven control. The…

Robotics · Computer Science 2020-04-01 Ignacio Abadia , Francisco Naveros , Jesus A. Garrido , Eduardo Ros , Niceto R. Luque

Safety-critical control is essential for humanoid robots operating in complex human-centered environments, where physical safety constraints such as joint limits, self-collision avoidance, obstacle avoidance, and workspace boundaries must…

Robotics · Computer Science 2026-05-26 Kwanwoo Lee , Sanghyuk Park , Gyeongjae Park , Myeong-Ju Kim , Jaeheung Park

Mobile manipulation is usually achieved by sequentially executing base and manipulator movements. This simplification, however, leads to a loss in efficiency and in some cases a reduction of workspace size. Even though different methods…

Robotics · Computer Science 2020-03-06 Julien Kindle , Fadri Furrer , Tonci Novkovic , Jen Jen Chung , Roland Siegwart , Juan Nieto

The topic of physical human-robot interaction received a lot of attention from the robotics community because of many promising application domains. However, studying physical interaction between a robot and an external agent, like a human…

Learning a general whole-body controller for humanoid robots remains challenging due to the diversity of motion distributions, the difficulty of fast adaptation, and the need for robust balance in high-dynamic scenarios. Existing approaches…