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In this paper, we address the development of a robotic rehabilitation system for the upper limbs based on collaborative end-effector solutions. The use of commercial collaborative robots offers significant advantages for this task, as they…

机器人学 · 计算机科学 2025-08-12 Dario Onfiani , Marco Caramaschi , Luigi Biagiotti , Fabio Pini

Recently, the lower limb exoskeletons which providemobility for paraplegic patients to support their daily life havedrawn much attention. However, the pilots are required to applyexcessive force through a pair of crutches to maintain…

机器人学 · 计算机科学 2020-11-10 Yik Ben Wong , Yawen Chen , Kam Fai Elvis Tsang , Winnie Suk Wai Leung , Ling Shi

To reproduce natural standing-up motion, recent studies have emphasized the importance of coordination between the assisting robot and the human. However, many non-wearable assistive devices have struggled to replicate natural motion…

神经元与认知 · 定量生物学 2025-05-20 Atsuya Kusui , Susumu Hirai , Asuka Takai

The rise of automation has provided an opportunity to achieve higher efficiency in manufacturing processes, yet it often compromises the flexibility required to promptly respond to evolving market needs and meet the demand for…

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

Legged robots have enormous potential in their range of capabilities, from navigating unstructured terrains to high-speed running. However, designing robust controllers for highly agile dynamic motions remains a substantial challenge for…

机器人学 · 计算机科学 2023-04-20 Laura Smith , J. Chase Kew , Tianyu Li , Linda Luu , Xue Bin Peng , Sehoon Ha , Jie Tan , Sergey Levine

Parallel-elastic joints can improve the efficiency and strength of robots by assisting the actuators with additional torques. For these benefits to be realized, a spring needs to be carefully designed. However, designing robots is an…

机器人学 · 计算机科学 2023-01-10 Filip Bjelonic , Joonho Lee , Philip Arm , Dhionis Sako , Davide Tateo , Jan Peters , Marco Hutter

The emergence of robot-based body augmentation promises exciting innovations that will inform robotics, human-machine interaction, and wearable electronics. Even though augmentative devices like extra robotic arms and fingers in many ways…

This paper addresses the challenge of terrain-adaptive dynamic locomotion in humanoid robots, a problem traditionally tackled by optimization-based methods or reinforcement learning (RL). Optimization-based methods, such as model-predictive…

机器人学 · 计算机科学 2024-07-30 Shangqun Yu , Nisal Perera , Daniel Marew , Donghyun Kim

We propose a contact-explicit hierarchical architecture coupling Reinforcement Learning (RL) and Model Predictive Control (MPC), where a high-level RL agent provides gait and navigation commands to a low-level locomotion MPC. This offloads…

Typical leg exoskeletons employ open-loop kinematic chains with motors placed directly on movable joints; while this design offers flexibility, it leads to increased costs and heightened control complexity due to the high number of degrees…

To be useful tools in real scenarios, humanoid robots must realize tasks dynamically. This means that they must be capable of applying substantial forces, rapidly swinging their limbs, and also mitigating impacts that may occur during the…

机器人学 · 计算机科学 2023-07-25 Youngwoo Sim , Joao Ramos

In this paper, we propose a novel design of an electrically actuated robotic leg, called the DecARt (Decoupled Actuation Robot) Leg, aimed at performing agile locomotion. This design incorporates several new features, such as the use of a…

机器人学 · 计算机科学 2025-11-14 Egor Davydenko , Andrei Volchenkov , Vladimir Gerasimov , Roman Gorbachev

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

Deep reinforcement learning (RL) can enable robots to autonomously acquire complex behaviors, such as legged locomotion. However, RL in the real world is complicated by constraints on efficiency, safety, and overall training stability,…

机器人学 · 计算机科学 2023-10-27 Laura Smith , Yunhao Cao , Sergey Levine

In this paper, we propose a novel approach on controlling wheel-legged quadrupedal robots using pose optimization and force control via quadratic programming (QP). Our method allows the robot to leverage the whole-body motion and the wheel…

机器人学 · 计算机科学 2022-03-11 Junheng Li , Junchao Ma , Quan Nguyen

Animals use limbs for both locomotion and manipulation. We aim to equip quadruped robots with similar versatility. This work introduces a system that enables quadruped robots to interact with objects using their legs, inspired by…

机器人学 · 计算机科学 2024-10-25 Xialin He , Chengjing Yuan , Wenxuan Zhou , Ruihan Yang , David Held , Xiaolong Wang

This paper presents a novel methodology to model and optimize trajectories of a quadrupedal robot with spinal compliance to improve standing jump performance compared to quadrupeds with a rigid spine. We introduce an elastic model for a…

机器人学 · 计算机科学 2021-09-02 Keran Ye , Konstantinos Karydis

This paper presents an insole FSR (Force Sensing Resistor) to dynamically detect weight variations in an exoskeleton system. The proposed methodology is intended for tasks of lifting and lowering heavy weights with an industrial exoskeleton…

机器人学 · 计算机科学 2017-06-20 Luis A. Mateos

Robots are good at performing repetitive tasks in modern manufacturing industries. However, robot motions are mostly planned and preprogrammed with a notable lack of adaptivity to task changes. Even for slightly changed tasks, the whole…

系统与控制 · 电气工程与系统科学 2022-07-04 Tian Yu , Qing Chang