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Reliable and stable locomotion has been one of the most fundamental challenges for legged robots. Deep reinforcement learning (deep RL) has emerged as a promising method for developing such control policies autonomously. In this paper, we…

机器人学 · 计算机科学 2020-11-04 Sehoon Ha , Peng Xu , Zhenyu Tan , Sergey Levine , Jie Tan

Precise trajectory tracking for legged robots can be challenging due to their high degrees of freedom, unmodeled nonlinear dynamics, or random disturbances from the environment. A commonly adopted solution to overcome these challenges is to…

机器人学 · 计算机科学 2025-09-01 Jing Cheng , Yasser G. Alqaham , Amit K. Sanyal , Zhenyu Gan

It is true that the "best" neural network is not necessarily the one with the most "brain-like" behavior. Understanding biological intelligence, however, is a fundamental goal for several distinct disciplines. Translating our understanding…

神经元与认知 · 定量生物学 2018-07-09 Guangzhi Tang , Konstantinos P. Michmizos

Design of robots at the small scale is a trial-and-error based process, which is costly and time-consuming. There are few dynamic simulation tools available to accurately predict the motion or performance of untethered microrobots as they…

机器人学 · 计算机科学 2020-10-08 Jiayin Xie , Chenghao Bi , David J. Cappelleri , Nilanjan Chakraborty

Wheel-legged robots combine the advantages of both wheeled robots and legged robots, offering versatile locomotion capabilities with excellent stability on challenging terrains and high efficiency on flat surfaces. However, existing…

机器人学 · 计算机科学 2026-03-13 Yinglei Zhu , Sixiao He , Yan Ning , Zhenghao Qi , Zhuoyuan Yong , Yihua Qin , Jianyu Chen

Establishing adaptive particles that sense their state, anticipate their evolution, and compute control inputs onboard has been a major challenge in non-equilibrium physics. We address this challenge by realizing an autonomous brainbot,…

Quadruped robots are usually equipped with additional arms for manipulation, negatively impacting price and weight. On the other hand, the requirements of legged locomotion mean that the legs of such robots often possess the needed torque…

机器人学 · 计算机科学 2022-09-19 Yordan Tsvetkov , Subramanian Ramamoorthy

The Mini Wheelbot is a balancing, reaction wheel unicycle robot designed as a testbed for learning-based control. It is an unstable system with highly nonlinear yaw dynamics, non-holonomic driving, and discrete contact switches in a small,…

机器人学 · 计算机科学 2025-11-07 Henrik Hose , Jan Weisgerber , Sebastian Trimpe

Wheeled-legged robots combine the efficiency of wheeled robots when driving on suitably flat surfaces and versatility of legged robots when stepping over or around obstacles. This paper introduces a planning and control framework to realise…

机器人学 · 计算机科学 2020-03-10 Songyan Xin , Sethu Vijayakumar

Teaching and learning physical skills often require one-on-one interaction, making it difficult to scale up, as there are not enough human teachers. Robots offer an attractive alternative. This paper presents TeachingBot, an adaptive…

机器人学 · 计算机科学 2025-07-08 Zhimin Hou , Cunjun Yu , David Hsu , Haoyong Yu

This paper presents a -- Learning from Demonstration -- method to perform robot movement trajectories that can be defined as you go. This way unstructured tasks can be performed, without the need to know exactly all the tasks and start and…

机器人学 · 计算机科学 2020-10-16 Luis Trucios , Mahdi Tavakoli , Kim Adams

Salamander-like quadruped robots are designed inspired by the skeletal structure of their biological counterparts. However, existing controllers cannot fully exploit these morphological features and largely rely on predefined gait patterns…

机器人学 · 计算机科学 2025-11-12 Zhiang Liu , Yang Liu , Yongchun Fang , Xian Guo

Recent studies have demonstrated the immense potential of exploiting muscle actuator morphology for natural and robust movement -- in simulation. A validation on real robotic hardware is yet missing. In this study, we emulate muscle…

机器人学 · 计算机科学 2025-07-10 Pierre Schumacher , Lorenz Krause , Jan Schneider , Dieter Büchler , Georg Martius , Daniel Haeufle

Robots are becoming more capable and can autonomously perform tasks such as navigating between locations. However, human oversight remains crucial. This study compared two touchless methods for directing mobile robots: voice control and…

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…

Humanoid robots, designed to operate in human-centric environments, serve as a fundamental platform for a broad range of tasks. Although humanoid robots have been extensively studied for decades, a majority of existing humanoid robots still…

机器人学 · 计算机科学 2025-10-28 Xiao Lin , Yuhao Huang , Taimeng Fu , Xiaobin Xiong , Chen Wang

Every robot built to date was predesigned by an external process, prior to deployment. Here we show a robot that actively participates in its own design during its lifetime. Starting from a randomly assembled body, and using only…

机器人学 · 计算机科学 2026-03-16 Chen Yu , Sam Kriegman

This paper presents a 3-DOF hopping robot with a human-like lower-limb joint configuration and a flat foot, capable of performing dynamic and repetitive jumping motions. To achieve both high torque output and a large hollow shaft diameter…

机器人学 · 计算机科学 2025-05-22 JongHun Choe , Gijeong Kim , Hajun Kim , Dongyun Kang , Min-Su Kim , Hae-Won Park

Cooking robots can enhance the home experience by reducing the burden of daily chores. However, these robots must perform their tasks dexterously and safely in shared human environments, especially when handling dangerous tools such as…

机器人学 · 计算机科学 2024-09-27 Cristian C. Beltran-Hernandez , Nicolas Erbetti , Masashi Hamaya

Multi-legged robots with six or more legs are not in common use, despite designs with superior stability, maneuverability, and a low number of actuators being available for over 20 years. This may be in part due to the difficulty in…

机器人学 · 计算机科学 2024-01-05 Ziyou Wu , Dan Zhao , Shai Revzen