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Robots often interact with the world via attached parts such as wheels, joints, or appendages. In many systems, these interactions, and the manner in which they lead to locomotion, can be understood using the machinery of geometric…

Robotics · Computer Science 2021-08-17 Blake Buchanan , Tony Dear , Scott Kelly , Matthew Travers , Howie Choset

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…

Robotics · Computer Science 2024-07-30 Shangqun Yu , Nisal Perera , Daniel Marew , Donghyun Kim

Legged rovers provide enhanced mobility compared to wheeled platforms, enabling navigation on steep and irregular planetary terrains. However, traditional legged locomotion might be energetically inefficient and potentially dangerous to the…

Interactive applications demand believable characters that respond naturally to dynamic environments. Traditional character animation techniques often struggle to handle arbitrary situations, leading to a growing trend of dynamically…

Graphics · Computer Science 2025-10-28 Jose Luis Ponton , Sheldon Andrews , Carlos Andujar , Nuria Pelechano

This paper studies capturability and push recovery for quadrupedal locomotion. Despite the rich literature on capturability analysis and push recovery control for legged robots, existing tools are developed mainly for bipeds or humanoids.…

Robotics · Computer Science 2022-02-18 Hua Chen , Zejun Hong , Shunpeng Yang , Patrick M. Wensing , Wei Zhang

Planning locomotion trajectories for legged microrobots is challenging because of their complex morphology, high frequency passive dynamics, and discontinuous contact interactions with their environment. Consequently, such research is often…

Legged robots are well-suited for broad exploration tasks in complex environments with yielding terrain. Understanding robotic foot-terrain interactions is critical for safe locomotion and walking efficiency for legged robots. This paper…

Robotics · Computer Science 2024-03-06 Xunjie Chen , Jingang Yi , Jerry Shan

Hybrid track/wheel-legged robots combine the advantages of wheel-based and leg-based locomotion, granting adaptability across varied terrains through efficient transitions between rolling and walking modes. However, automating these…

Robotics · Computer Science 2024-04-04 Jie Wang , Krispin Davies

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…

Robotics · Computer Science 2022-02-25 Chen Yu , Andre Rosendo

Most locomotion methods for humanoid robots focus on leg-based gaits, yet natural bipeds frequently rely on hands, knees, and elbows to establish additional contacts for stability and support in complex environments. This paper introduces…

Despite the extensive presence of the legged locomotion in animals, it is extremely challenging to be reproduced with robots. Legged locomotion is an dynamic task which benefits from a planning that takes advantage of the gravitational pull…

Robotics · Computer Science 2019-10-09 Carlo Tiseo , Sethu Vijayakumar , Michael Mistry

Walking animals, like stick insects, cockroaches or ants, demonstrate a fascinating range of locomotive abilities and complex behaviors. The locomotive behaviors can consist of a variety of walking patterns along with adaptation that allow…

Neural and Evolutionary Computing · Computer Science 2016-08-08 Sakyasingha Dasgupta , Dennis Goldschmidt , Florentin Wörgötter , Poramate Manoonpong

The security issue of mobile robots has attracted considerable attention in recent years. In this paper, we propose an intelligent physical attack to trap mobile robots into a preset position by learning the obstacle-avoidance mechanism…

Robotics · Computer Science 2022-08-23 Yushan Li , Jianping He , Cailian Chen , Xinping Guan

Animals and robots must self-right on the ground after overturning. Biology research described various strategies and motor patterns in many species. Robotics research devised many strategies. However, we do not well understand how the…

Biological Physics · Physics 2024-10-01 Chen Li

In this paper, we present a general learning framework for controlling a quadruped robot that can mimic the behavior of real animals and traverse challenging terrains. Our method consists of two steps: an imitation learning step to learn…

Robotics · Computer Science 2023-08-08 Tingguang Li , Yizheng Zhang , Chong Zhang , Qingxu Zhu , Jiapeng sheng , Wanchao Chi , Cheng Zhou , Lei Han

Soft robots require directional control to navigate complex terrains. However, achieving such control often requires multiple actuators, which increases mechanical complexity, complicates control systems, and raises energy consumption.…

Robotics · Computer Science 2025-12-09 Hari Prakash Thanabalan , Lars Bengtsson , Ugo Lafont , Giovanni Volpe

Quadruped robots are often designed with rigid feet to simplify control and maintain stable contact during locomotion. While this approach is straightforward, it limits the ability of the legs to absorb impact forces and reuse stored…

Robotics · Computer Science 2026-05-15 Pramod Pal , Shishir Kolathaya , Ashitava Ghosal

Unlike their biological cousins, the majority of existing quadrupedal robots are constructed with rigid chassis. This results in motion that is either beetle-like or distinctly robotic, lacking the natural fluidity characteristic of…

Robotics · Computer Science 2025-05-06 Nicholas Hafner , Chaoran Liu , Carlos Ishi , Hiroshi Ishiguro

While the animals' Fin-to-Limb evolution has been well-researched in biology, such morphological transformation remains under-adopted in the modern design of advanced robotic limbs. This paper investigates a novel class of overconstrained…

Designing soft robots poses considerable challenges: automated design approaches may be particularly appealing in this field, as they promise to optimize complex multi-material machines with very little or no human intervention.…

Artificial Intelligence · Computer Science 2017-11-20 Francesco Corucci , Nick Cheney , Francesco Giorgio-Serchi , Josh Bongard , Cecilia Laschi