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Related papers: Explosive Output to Enhance Jumping Ability: A Var…

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Animals locomote robustly and agile, albeit significant sensorimotor delays of their nervous system. The sensorimotor control of legged robots is implemented with much higher frequencies-often in the kilohertz range-and sensor and actuator…

A hybrid continuum robot design is introduced that combines a proximal tendon-actuated section with a distal telescoping section comprised of permanent-magnet spheres actuated using an external magnet. While, individually, each section can…

The potential of Martian lava tubes for resource extraction and habitat sheltering highlights the need for robots capable to undertake the grueling task of their exploration. Driven by this motivation, in this work we introduce a legged…

Robotics · Computer Science 2023-11-08 Jørgen Anker Olsen , Kostas Alexis

This paper studies jumping for wheeled-bipedal robots, a motion that takes full advantage of the benefits from the hybrid wheeled and legged design features. A comprehensive hierarchical scheme for motion planning and control of jumping…

Robotics · Computer Science 2020-12-14 Hua Chen , Bingheng Wang , Zejun Hong , Cong Shen , Patrick M. Wensing , Wei Zhang

This study presents the design and the kinematic optimization of a novel, underactuated, linkage-based robotic hand exoskeleton to assist users in performing grasping tasks. The device has been designed to apply only normal forces to the…

Robotics · Computer Science 2020-05-11 Mine Sarac , Massimiliano Solazzi , Edoardo Sotgiu , Massimo Bergamasco , Antonio Frisoli

Pediatric exoskeletons offer great promise to increase mobility for children with crouch gait caused by cerebral palsy. A lightweight, compliant and user-specific actuator is critical for maximizing the benefits of an exoskeleton to users.…

Robotics · Computer Science 2021-01-05 Sainan Zhang , Tzu-Hao Huang , Chunhai Jiao , Mhairi MacLean , Junxi Zhu , Shuangyue Yu , Hao Su

Exoskeleton robots have become a promising tool in neurorehabilitation, offering effective physical therapy and recovery monitoring. The success of these therapies relies on precise motion control systems. Although computed torque control…

Robotics · Computer Science 2024-10-11 SK Hasan

We study vertical jumping in a simple robot comprising an actuated mass-spring arrangement. The actuator frequency and phase are systematically varied to find optimal performance. Optimal jumps occur above and below (but not at) the robot's…

Classical Physics · Physics 2015-06-11 Jeffrey Aguilar , Alex Lesov , Kurt Wiesenfeld , Daniel I. Goldman

Prosthesis users can regain partial limb functionality, however, full natural limb mobility is rarely restored, often resulting in compensatory movements that lead to discomfort, inefficiency, and long-term physical strain. To address this…

Robotics · Computer Science 2025-08-15 Marta Lagomarsino , Robin Arbaud , Francesco Tassi , Arash Ajoudani

Ergonomics is a key factor to consider when designing control architectures for effective physical collaborations between humans and humanoid robots. In contrast, ergonomic indexes are often overlooked in the robot design phase, which leads…

Purpose of Review: As new technological advancements are made, humanoid robots that utilise them are being designed and manufactured. For optimal design choices, a broad overview with insight on the advantages and disadvantages of available…

Robotics · Computer Science 2021-03-09 Grzegorz Ficht , Sven Behnke

Wearable devices like exoskeletons are designed to reduce excessive loads on specific joints of the body. Specifically, single- or two-degrees-of-freedom (DOF) upper-body industrial exoskeletons typically focus on compensating for the…

Robotics · Computer Science 2025-04-15 Emir Mobedi , Gokhan Solak , Arash Ajoudani

The human body demonstrates exceptional motor capabilities-such as standing steadily on one foot or performing a high kick with the leg raised over 1.5 meters-both requiring precise balance control. While recent research on humanoid control…

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…

Neurons and Cognition · Quantitative Biology 2025-05-20 Atsuya Kusui , Susumu Hirai , Asuka Takai

While it is expected to build robotic limbs with multiple degrees of freedom (DoF) inspired by nature, a single DoF design remains fundamental, providing benefits that include, but are not limited to, simplicity, robustness,…

Robotics · Computer Science 2025-09-29 Yuping Gu , Bangchao Huang , Haoran Sun , Ronghan Xu , Jiayi Yin , Wei Zhang , Fang Wan , Jia Pan , Chaoyang Song

Parkour is a grand challenge for legged locomotion, even for quadruped robots, requiring active perception and various maneuvers to overcome multiple challenging obstacles. Existing methods for humanoid locomotion either optimize a…

Robotics · Computer Science 2024-09-27 Ziwen Zhuang , Shenzhe Yao , Hang Zhao

Robotic exoskeletons can enhance human strength and aid people with physical disabilities. However, designing them to ensure safety and optimal performance presents significant challenges. Developing exoskeletons should incorporate specific…

Robotics · Computer Science 2024-03-26 Baris Akbas , Huseyin Taner Yuksel , Aleyna Soylemez , Mazhar Eid Zyada , Mine Sarac , Fabio Stroppa

Physical joint limits are common in legged robots and can restrict workspace, constrain gait design, and increase the risk of hardware damage. This paper introduces MiNI-Q^2, a miniature, wire-free quadruped robot with independently…

Robotics · Computer Science 2026-03-13 Daniel Koh , Suraj Shah , Yufeng Wu , Dennis Hong

Effective rehabilitation methods are essential for the recovery of lower limb dysfunction caused by stroke. Nowadays, robotic exoskeletons have shown great potentials in rehabilitation. Nevertheless, traditional rigid exoskeletons are…

Robotics · Computer Science 2025-10-14 Junxiang Wang , Han Zhang , Zehao Wang , Huaiyuan Chen , Pu Wang , Weidong Chen

Humanoid locomotion has advanced rapidly with deep reinforcement learning (DRL), enabling robust feet-based traversal over uneven terrain. Yet platforms beyond leg length remain largely out of reach because current RL training paradigms…

Robotics · Computer Science 2026-03-09 Yikai Wang , Tingxuan Leng , Changyi Lin , Shiqi Liu , Shir Simon , Bingqing Chen , Jonathan Francis , Ding Zhao
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