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相关论文: Posture Adjustment for a Wheel-legged Robotic Syst…

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Faced with complex and unstructured construction environments, wheeled and tracked robots exhibit significant limitations in terrain adaptability and flexibility, making it difficult to meet the requirements of autonomous operation.…

机器人学 · 计算机科学 2025-07-23 Xiao Liu , Xianlong Yang , Weijun Wang , Wei Feng

The robustness of legged locomotion is crucial for quadrupedal robots in challenging terrains. Recently, Reinforcement Learning (RL) has shown promising results in legged locomotion and various methods try to integrate privileged…

机器人学 · 计算机科学 2023-09-04 Jiyuan Shi , Chenjia Bai , Haoran He , Lei Han , Dong Wang , Bin Zhao , Mingguo Zhao , Xiu Li , Xuelong Li

This paper presents a Non-Linear Model Predictive Controller for humanoid robot locomotion with online step adjustment capabilities. The proposed controller considers the Centroidal Dynamics of the system to compute the desired contact…

In this paper, we study the longitudinal control problem for a platoon of vehicles with unknown nonlinear dynamics under both the predecessor-following and the bidirectional control architectures. The proposed control protocols are fully…

This paper presents a learning-based approach for impromptu trajectory tracking for non-minimum phase systems, i.e., systems with unstable inverse dynamics. Inversion-based feedforward approaches are commonly used for improving tracking…

机器人学 · 计算机科学 2018-03-08 Siqi Zhou , Mohamed K. Helwa , Angela P. Schoellig

Legged robots leverage ground contacts and the reaction forces they provide to achieve agile locomotion. However, uncertainty coupled with contact discontinuities can lead to failure, especially in real-world environments with unexpected…

机器人学 · 计算机科学 2023-09-11 Yanhao Yang , Joseph Norby , Justin K. Yim , Aaron M. Johnson

Automatically configuring a robotic prosthesis to fit its user's needs and physical conditions is a great technical challenge and a roadblock to the adoption of the technology. Previously, we have successfully developed reinforcement…

机器人学 · 计算机科学 2021-01-12 Ruofan Wu , Minhan Li , Zhikai Yao , Jennie Si , He , Huang

This paper presents a control framework that combines model-based optimal control and reinforcement learning (RL) to achieve versatile and robust legged locomotion. Our approach enhances the RL training process by incorporating on-demand…

机器人学 · 计算机科学 2024-10-01 Dongho Kang , Jin Cheng , Miguel Zamora , Fatemeh Zargarbashi , Stelian Coros

This paper presents an online walking synthesis methodology to enable dynamic and stable walking on constrained footholds for underactuated bipedal robots. Our approach modulates the change of angular momentum about the foot-ground contact…

机器人学 · 计算机科学 2021-09-27 Min Dai , Xiaobin Xiong , Aaron Ames

Recent advances in quadrupedal robots have demonstrated impressive agility and the ability to traverse diverse terrains. However, hardware issues, such as motor overheating or joint locking, may occur during long-distance walking or…

机器人学 · 计算机科学 2025-02-11 Seunghyun Lee , I Made Aswin Nahrendra , Dongkyu Lee , Byeongho Yu , Minho Oh , Hyun Myung

Bipedal locomotion is a key challenge in robotics, particularly for robots like Bolt, which have a point-foot design. This study explores the control of such underactuated robots using constrained reinforcement learning, addressing their…

Wheeled bipedal robots have garnered increasing attention in exploration and inspection. However, most research simplifies calculations by ignoring leg dynamics, thereby restricting the robot's full motion potential. Additionally, robots…

机器人学 · 计算机科学 2025-11-11 Cong Wen , Yunfei Li , Kexin Liu , Yixin Qiu , Xuanhong Liao , Tianyu Wang , Dingchuan Liu , Tao Zhang , Ximin Lyu

This paper presents a novel adaptive control methodology for uncertain systems with time-varying unknown parameters and time-varying bounded disturbance. The adaptive controller ensures uniformly bounded transient and asymptotic tracking…

最优化与控制 · 数学 2007-05-23 Chengyu Cao , Naira Hovakimyan

Legged robots have achieved impressive feats in dynamic locomotion in challenging unstructured terrain. However, in entertainment applications, the design and control of these robots face additional challenges in appealing to human…

Reinforcement learning has emerged as a promising methodology for training robot controllers. However, most results have been limited to simulation due to the need for a large number of samples and the lack of automated-yet-safe data…

机器人学 · 计算机科学 2018-03-29 Kendall Lowrey , Svetoslav Kolev , Jeremy Dao , Aravind Rajeswaran , Emanuel Todorov

Planning and execution of agile locomotion maneuvers have been a longstanding challenge in legged robotics. It requires to derive motion plans and local feedback policies in real-time to handle the nonholonomy of the kinetic momenta. To…

Wheel-legged robots integrate leg agility on rough terrain with wheel efficiency on flat ground. However, most existing designs do not fully capitalize on the benefits of both legged and wheeled structures, which limits overall system…

机器人学 · 计算机科学 2026-05-25 Zhicheng Song , Jinglan Xu , Chunxin Zheng , Yulin Li , Zhihai Bi , Jun Ma

In this paper, we address the challenge of performing non-prehensile pushing operations with a compliant robotic manipulation system. To ensure safe operations in human-populated environments, robots must comply with external physical…

机器人学 · 计算机科学 2026-05-26 Francesco Cufino , Mario Selvaggio , Fabio Amadio , Fabio Ruggiero

Legged robots are typically in rigid contact with the environment at multiple locations, which add a degree of complexity to their control. We present a method to control the motion and a subset of the contact forces of a floating-base…

机器人学 · 计算机科学 2014-10-17 Andrea Del Prete , Nicolas Mansard , Francesco Nori , Giorgio Metta , Lorenzo Natale

While quadruped robots usually have good stability and load capacity, bipedal robots offer a higher level of flexibility / adaptability to different tasks and environments. A multi-modal legged robot can take the best of both worlds. In…

机器人学 · 计算机科学 2022-02-25 Chen Yu , Andre Rosendo