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This paper presents a novel framework that enables real-world humanoid robots to maintain stability while performing human-like motion. Current methods train a policy which allows humanoid robots to follow human body using the massive…

Robotics · Computer Science 2025-05-27 Haoyu Zhao , Sixu Lin , Qingwei Ben , Minyue Dai , Hao Fei , Jingbo Wang , Hua Zou , Junting Dong

Physical human-robot collaboration (pHRC) requires both compliance and safety guarantees since robots coordinate with human actions in a shared workspace. This paper presents a novel fixed-time adaptive neural control methodology for…

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…

Push recovery during locomotion will facilitate the deployment of humanoid robots in human-centered environments. In this paper, we present a unified framework for walking control and push recovery for humanoid robots, leveraging the arms…

Robotics · Computer Science 2025-05-19 Lizhi Yang , Blake Werner , Adrian B. Ghansah , Aaron D. Ames

Automating dexterous, contact-rich manipulation tasks using rigid robots is a significant challenge in robotics. Rigid robots, defined by their actuation through position commands, face issues of excessive contact forces due to their…

Robotics · Computer Science 2024-09-27 Tatsuya Kamijo , Cristian C. Beltran-Hernandez , Masashi Hamaya

This paper proposes a control method to address the physical Human-Robot Interaction (pHRI) challenge in the context of hierarchical tasks. A common approach to managing hierarchical tasks is Hierarchical Quadratic Programming (HQP), which,…

Robotics · Computer Science 2024-10-23 Mengxin Xu , Weiwei Wan , Hesheng Wang , Kensuke Harada

Humanoid loco-manipulation requires executing precise manipulation tasks while maintaining dynamic stability amid base motion and impacts. Existing approaches typically formulate commands in body-centric frames, fail to inherently correct…

Robotics · Computer Science 2026-02-09 Zhanxiang Cao , Liyun Yan , Yang Zhang , Sirui Chen , Jianming Ma , Tianyue Zhan , Shengcheng Fu , Yufei Jia , Cewu Lu , Yue Gao

Insertion operations are a critical element of most robotic assembly operation, and peg-in-hole (PiH) insertion is one of the most widely studied tasks in the industrial and academic manipulation communities. PiH insertion is in fact an…

Robotics · Computer Science 2022-04-25 Devesh K. Jha , Diego Romeres , Siddarth Jain , William Yerazunis , Daniel Nikovski

Visual loco-manipulation of arbitrary objects in the wild with humanoid robots requires accurate end-effector (EE) control and a generalizable understanding of the scene via visual inputs (e.g., RGB-D images). Existing approaches are based…

Robotics · Computer Science 2026-02-25 Runpei Dong , Ziyan Li , Xialin He , Saurabh Gupta

As humanoid robots enter real-world environments, ensuring robust locomotion across diverse environments is crucial. This paper presents a computationally efficient hierarchical control framework for humanoid robot locomotion based on…

Robotics · Computer Science 2025-09-08 Adrian B. Ghansah , Sergio A. Esteban , Aaron D. Ames

Soft grippers are receiving growing attention due to their compliance-based interactive safety and dexterity. Hybrid gripper (soft actuators enhanced by rigid constraints) is a new trend in soft gripper design. With right structural…

Realizing interactive whole-body control for multi-humanoid systems is critical for unlocking complex collaborative capabilities in shared environments. Although recent advancements have significantly enhanced the agility of individual…

Quadruped robots are designed to achieve agile and robust locomotion by drawing inspiration from legged animals. However, most existing control methods for quadruped robots lack a key capacity observed in animals: the ability to exhibit…

Robotics · Computer Science 2026-03-10 Aoqian Zhang , Zixuan Zhuang , Chunzheng Wang , Shuzhi Sam Ge , Fan Shi , Cheng Xiang

We present experimental results using a passive whole-body control approach for quadruped robots that achieves dynamic locomotion while compliantly balancing the robot's trunk. We formulate the motion tracking as a Quadratic Program (QP)…

Robotics · Computer Science 2019-03-14 Shamel Fahmi , Carlos Mastalli , Michele Focchi , Claudio Semini

This paper proposes an adaptive admittance controller for improving efficiency and safety in physical human-robot interaction (pHRI) tasks in small-batch manufacturing that involve contact with stiff environments, such as drilling,…

Robotics · Computer Science 2024-07-22 Pouya P. Niaz , Engin Erzin , Cagatay Basdogan

This paper introduces a novel solution to the manual control challenge for indoor blimps. The problem's complexity arises from the conflicting demands of executing human commands while maintaining stability through automatic control for…

Robotics · Computer Science 2024-09-17 Wugang Meng , Tianfu Wu , Qiuyang Tao , Fumin Zhang

Humanoid robots have demonstrated impressive motor skills in a wide range of tasks, yet whole-body control for humanlike long-time, dynamic fighting remains particularly challenging due to the stringent requirements on agility and…

Robotics · Computer Science 2026-04-24 Yucheng Xin , Jiacheng Bao , Yubo Dong , Xueqian Wang , Bin Zhao , Xuelong Li , Junbo Tan , Dong Wang

Generally, humanoid robots usually suffer significant impact force when walking or running in a non-predefined environment that could easily damage the actuators due to high stiffness. In recent years, the usages of passive, compliant…

Robotics · Computer Science 2022-01-25 Anh Khoa Lanh Luu , Van Tu Duong , Huy Hung Nguyen , Sang Bong Kim , Tan Tien Nguyen

Sidewinding, a locomotion strategy characterized by the coordination of lateral and vertical body undulations, is frequently observed in rattlesnakes and has been successfully reconstructed by limbless robotic systems for effective movement…

Robotics · Computer Science 2023-09-26 Velin Kojouharov , Tianyu Wang , Matthew Fernandez , Jiyeon Maeng , Daniel I. Goldman

Humanoid robots hold great promise for operating in human-centric environments, yet achieving robust whole-body coordination across the head, hands, and legs remains a major challenge. We present a system that combines a modular…

Robotics · Computer Science 2026-01-01 Haozhi Qi , Yen-Jen Wang , Toru Lin , Brent Yi , Yi Ma , Koushil Sreenath , Jitendra Malik