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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

In this paper, we present a new locomotion control method for soft robot snakes. Inspired by biological snakes, our control architecture is composed of two key modules: A deep reinforcement learning (RL) module for achieving adaptive…

Robotics · Computer Science 2020-03-04 Xuan Liu , Renato Gasoto , Cagdas Onal , Jie Fu

Everting, soft growing vine robots benefit from reduced friction with their environment, which allows them to navigate challenging terrain. Vine robots can use air pouches attached to their sides for lateral steering. However, when all…

Locomotion has seen dramatic progress for walking or running across challenging terrains. However, robotic quadrupeds are still far behind their biological counterparts, such as dogs, which display a variety of agile skills and can use the…

Robotics · Computer Science 2023-03-23 Xuxin Cheng , Ashish Kumar , Deepak Pathak

Legged robots need to be capable of walking on diverse terrain conditions. In this paper, we present a novel reinforcement learning framework for learning locomotion on non-rigid dynamic terrains. Specifically, our framework can generate…

Robotics · Computer Science 2021-07-08 Taehei Kim , Sung-Hee Lee

Developing a framework for the locomotion of a six-legged robot or a hexapod is a complex task that has extensive hardware and computational requirements. In this paper, we present a bio-inspired framework for the locomotion of a hexapod.…

Robotics · Computer Science 2021-07-28 Advait Lonkar , Sarthak Khoche , Shrisha Rao

Inflated continuum robots are promising for a variety of navigation tasks, but controlling their motion with a small number of actuators is challenging. These inflated beam robots tend to buckle under compressive loads, producing extremely…

Robotics · Computer Science 2021-04-29 Brian H. Do , Valory Banashek , Allison M. Okamura

Recently, work on reinforcement learning (RL) for bipedal robots has successfully learned controllers for a variety of dynamic gaits with robust sim-to-real demonstrations. In order to maintain balance, the learned controllers have full…

Robotics · Computer Science 2022-05-05 Helei Duan , Ashish Malik , Jeremy Dao , Aseem Saxena , Kevin Green , Jonah Siekmann , Alan Fern , Jonathan Hurst

Multi-legged robots offer enhanced stability to navigate complex terrains with their multiple legs interacting with the environment. However, how to effectively coordinate the multiple legs in a larger action exploration space to generate…

Robotics · Computer Science 2025-11-06 Xin Liu , Jinze Wu , Yinghui Li , Chenkun Qi , Yufei Xue , Feng Gao

Designing control policies for legged locomotion is complex due to the under-actuated and non-continuous robot dynamics. Model-free reinforcement learning provides promising tools to tackle this challenge. However, a major bottleneck of…

Robotics · Computer Science 2022-03-08 Tsung-Yen Yang , Tingnan Zhang , Linda Luu , Sehoon Ha , Jie Tan , Wenhao Yu

Legged robots promise higher versatility and the ability to traverse much more difficult terrains than their wheeled counterparts. Even though the use of legged robots have increased drastically in the last few years, they are still not…

Robotics · Computer Science 2021-05-25 Hilmar Elverhøy , Steinar Bøe , Vegard Søyseth , Tønnes Nygaard

This paper presents a new teleoperated spherical tensegrity robot capable of performing locomotion on steep inclined surfaces. With a novel control scheme centered around the simultaneous actuation of multiple cables, the robot demonstrates…

Deep reinforcement learning has seen successful implementations on humanoid robots to achieve dynamic walking. However, these implementations have been so far successful in simple environments void of obstacles. In this paper, we aim to…

Robotics · Computer Science 2024-10-14 Marwan Hamze , Mitsuharu Morisawa , Eiichi Yoshida

Quadrupedal robots have demonstrated remarkable agility and robustness in traversing complex terrains. However, they struggle with dynamic object interactions, where contact must be precisely sensed and controlled. To bridge this gap, we…

We propose a mechanically simple and cheap design for a series elastic actuator with controllable stiffness. Such characteristics are necessary for animals for running, jumping, throwing, and manipulation, yet in robots, variable stiffness…

Robotics · Computer Science 2021-07-08 Sajiv Shah , Brad Saund

Compared to traditional rigid robotics, soft robotics has attracted increasing attention due to its advantages as compliance, safety, and low cost. As an essential part of soft robotics, the soft robotic gripper also shows its superior…

Robotics · Computer Science 2021-12-30 Xing Wang , Hanwen Kang , Hongyu Zhou , Wesley Au , Chao Chen

Robotic locomotion research typically draws from biologically inspired leg designs, yet many human-engineered settings can benefit from non-anthropomorphic forms. TARS3D translates the block-shaped 'TARS' robot from Interstellar into a 0.25…

Robotics · Computer Science 2025-10-07 Aditya Sripada , Abhishek Warrier

Conventional mobile tensegrity robots constructed with straight links offer mobility at the cost of locomotion speed. While spherical robots provide highly effective rolling behavior, they often lack the stability required for navigating…

Robotics · Computer Science 2026-03-18 Lauren Ervin , Harish Bezawada , Vishesh Vikas

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…

Robotics · Computer Science 2024-01-05 Ziyou Wu , Dan Zhao , Shai Revzen

Bipedal walking is one of the most important hallmarks of human that robots have been trying to mimic for many decades. Although previous control methodologies have achieved robot walking on some terrains, there is a need for a framework…

Robotics · Computer Science 2025-12-01 Chrysostomos Karakasis , Ioannis Poulakakis , Panagiotis Artemiadis
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