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Related papers: Locomotion as Manipulation with ReachBot

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Legged locomotion enables robotic systems to traverse extremely challenging terrains. In many real-world scenarios, the terrain is not that difficult and these mixed terrain types introduce the need for flexible use of different walking…

Assistive robot manipulators must be able to autonomously pick and place a wide range of novel objects to be truly useful. However, current assistive robots lack this capability. Additionally, assistive systems need to have an interface…

Robotics · Computer Science 2019-07-10 Dian Wang , Colin Kohler , Andreas ten Pas , Alexander Wilkinson , Maozhi Liu , Holly Yanco , Robert Platt

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

Legged locomotion is a highly promising but under-researched subfield within the field of soft robotics. The compliant limbs of soft-limbed robots offer numerous benefits, including the ability to regulate impacts, tolerate falls, and…

Loco-manipulation planning skills are pivotal for expanding the utility of robots in everyday environments. These skills can be assessed based on a system's ability to coordinate complex holistic movements and multiple contact interactions…

Robotics · Computer Science 2023-08-21 Jean-Pierre Sleiman , Farbod Farshidian , Marco Hutter

This paper presents SCALER, a versatile free-climbing multi-limbed robot that is designed to achieve tightly coupled simultaneous locomotion and dexterous grasping. While existing quadrupedal-limbed robots have demonstrated impressive…

Robotics · Computer Science 2025-07-03 Yusuke Tanaka , Yuki Shirai , Alexander Schperberg , Xuan Lin , Dennis Hong

Mountain slopes are perfect examples of harsh environments in which humans are required to perform difficult and dangerous operations such as removing unstable boulders, dangerous vegetation or deploying safety nets. A good replacement for…

Humanoid robots that can autonomously operate in diverse environments have the potential to help address labour shortages in factories, assist elderly at homes, and colonize new planets. While classical controllers for humanoid robots have…

Robotics · Computer Science 2023-12-15 Ilija Radosavovic , Tete Xiao , Bike Zhang , Trevor Darrell , Jitendra Malik , Koushil Sreenath

Object manipulation has been extensively studied in the context of fixed base and mobile manipulators. However, the overactuated locomotion modality employed by snake robots allows for a unique blend of object manipulation through…

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

Attaining animal-like legged locomotion on rough outdoor terrain with sparse foothold affordances -a primary use-case for legs vs other forms of locomotion- is a largely open problem. New advancements in control and perception have enabled…

Robotics · Computer Science 2016-12-20 Dimitrios Kanoulas

Climbing robots face significant challenges when navigating unstructured environments, where reliable attachment to irregular surfaces is critical. We present a novel mobile climbing robot equipped with compliant pin-array structured…

Robotics · Computer Science 2026-03-18 Keita Nagaoka , Kentaro Uno , Kazuya Yoshida

Much current study of legged locomotion has rightly focused on foot traction forces, including on granular media. Future legged millirobots will need to go through terrain, such as brush or other vegetation, where the body contact forces…

Robotics · Computer Science 2019-04-22 Can Koc , Cem Koc , Brian Su , Carlos Casarez , Ronald Fearing

Quadrupedal locomotion over complex terrain has been a long-standing research topic in robotics. While recent reinforcement learning-based locomotion methods improve generalizability and foot-placement precision, they rely on implicit…

Robotics · Computer Science 2026-04-06 Matthew Hwang , Yubin Liu , Ryo Hakoda , Takeshi Oishi

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…

Robotics · Computer Science 2024-10-25 Xialin He , Chengjing Yuan , Wenxuan Zhou , Ruihan Yang , David Held , Xiaolong Wang

Legged robots have the potential to become vital in maintenance, home support, and exploration scenarios. In order to interact with and manipulate their environments, most legged robots are equipped with a dedicated robot arm, which means…

Robotics · Computer Science 2024-02-19 Philip Arm , Mayank Mittal , Hendrik Kolvenbach , Marco Hutter

Exploring planetary bodies with lower gravity, such as the moon and Mars, allows legged robots to utilize jumping as an efficient form of locomotion thus giving them a valuable advantage over traditional rovers for exploration. Motivated by…

Robotics · Computer Science 2025-03-06 Jørgen Anker Olsen , Grzegorz Malczyk , Kostas Alexis

This technical report gives an overview of our work on control algorithms dealing with redundant robot systems for achieving human-like motion characteristics. Previously, we developed a novel control law to exhibit human-motion…

Robotics · Computer Science 2013-11-06 Tapomayukh Bhattacharjee , Yonghwan Oh , Sang-Rok Oh

This paper explores the problem of autonomous, in-hand regrasping--the problem of moving from an initial grasp on an object to a desired grasp using the dexterity of a robot's fingers. We propose a planner for this problem which alternates…

Robotics · Computer Science 2018-04-13 Balakumar Sundaralingam , Tucker Hermans

The visuomotor system of any animal is critical for its survival, and the development of a complex one within humans is large factor in our success as a species on Earth. This system is an essential part of our ability to adapt to our…

Machine Learning · Computer Science 2021-03-29 Tamir Blum , Gabin Paillet , Watcharawut Masawat , Mickael Laine , Kazuya Yoshida
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