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Quadrupedal mobile robots can traverse a wider range of terrain types than their wheeled counterparts but do not perform the same on all terrain types. These robots are prone to undesirable behaviours like sinking and slipping on…

机器人学 · 计算机科学 2025-08-25 Sophie Villemure , Jefferson Silveira , Joshua A. Marshall

Recently several hierarchical inverse dynamics controllers based on cascades of quadratic programs have been proposed for application on torque controlled robots. They have important theoretical benefits but have never been implemented on a…

机器人学 · 计算机科学 2014-11-10 Alexander Herzog , Ludovic Righetti , Felix Grimminger , Peter Pastor , Stefan Schaal

This work addresses the problem of multi-robot coordination under unknown robot transition models, ensuring that tasks specified by Time Window Temporal Logic are satisfied with user-defined probability thresholds. We present a bi-level…

机器人学 · 计算机科学 2025-02-17 Xiaoshan Lin , Roberto Tron

Pedipulation leverages the feet of legged robots for mobile manipulation, eliminating the need for dedicated robotic arms. While previous works have showcased blind and task-specific pedipulation skills, they fail to account for static and…

机器人学 · 计算机科学 2024-11-05 Jonas Stolle , Philip Arm , Mayank Mittal , Marco Hutter

This paper aims to develop distributed feedback control algorithms that allow cooperative locomotion of quadrupedal robots which are coupled to each other by holonomic constraints. These constraints can arise from collaborative manipulation…

最优化与控制 · 数学 2019-10-03 Kaveh Akbari Hamed , Vinay R. Kamidi , Abhishek Pandala , Wen-Loong Ma , Aaron D. Ames

In contact-rich tasks, setting the stiffness of the control system is a critical factor in its performance. Although the setting range can be extended by making the stiffness matrix asymmetric, its stability has not been proven. This study…

机器人学 · 计算机科学 2026-03-19 Toshiaki Tsuji , Yasuhiro Kato

State-of-the-art reinforcement learning is now able to learn versatile locomotion, balancing and push-recovery capabilities for bipedal robots in simulation. Yet, the reality gap has mostly been overlooked and the simulated results hardly…

机器人学 · 计算机科学 2023-01-02 Alexis Duburcq , Fabian Schramm , Guilhem Boéris , Nicolas Bredeche , Yann Chevaleyre

For soft robots to work effectively in human-centered environments, they need to be able to estimate their state and external interactions based on (proprioceptive) sensors. Estimating disturbances allows a soft robot to perform desirable…

Legged robots have demonstrated remarkable agility on rigid, stationary ground, but their locomotion reliability remains limited in non-inertial environments, where the supporting ground moves, tilts, or accelerates. Such conditions arise…

机器人学 · 计算机科学 2026-04-24 I-Chia Chang , Xinyan Huang , Tzu-Yuan Lin , Sangli Teng , Wenjing Li , Maani Ghaffari , Jingang Yi , Yan Gu

Developing robust walking controllers for bipedal robots is a challenging endeavor. Traditional model-based locomotion controllers require simplifying assumptions and careful modelling; any small errors can result in unstable control. To…

机器人学 · 计算机科学 2021-03-29 Zhongyu Li , Xuxin Cheng , Xue Bin Peng , Pieter Abbeel , Sergey Levine , Glen Berseth , Koushil Sreenath

Compact quadrupedal robots are proving increasingly suitable for deployment in real-world scenarios. Their smaller size fosters easy integration into human environments. Nevertheless, real-time locomotion on uneven terrains remains…

机器人学 · 计算机科学 2026-02-20 Davide Plozza , Patricia Apostol , Paul Joseph , Simon Schläpfer , Michele Magno

Bipedal robots, due to their anthropomorphic design, offer substantial potential across various applications, yet their control is hindered by the complexity of their structure. Currently, most research focuses on proprioception-based…

机器人学 · 计算机科学 2025-07-21 Fu Chen , Rui Wan , Peidong Liu , Nanxing Zheng , Bo Zhou

Despite the potential benefits of collaborative robots, effective manipulation tasks with quadruped robots remain difficult to realize. In this paper, we propose a hierarchical control system that can handle real-world collaborative…

机器人学 · 计算机科学 2023-08-01 Mohsen Sombolestan , Quan Nguyen

Place recognition plays an important role in achieving robust long-term autonomy. Real-world robots face a wide range of weather conditions (e.g. overcast, heavy rain, and snowing) and most sensors (i.e. camera, LiDAR) essentially…

机器人学 · 计算机科学 2025-05-13 Hogyun Kim , Byunghee Choi , Euncheol Choi , Younggun Cho

Physical human-robot collaboration requires strict safety guarantees since robots and humans work in a shared workspace. This letter presents a novel control framework to handle safety-critical position-based constraints for human-robot…

机器人学 · 计算机科学 2022-08-11 Yuzhu Sun , Mien Van , Stephen McIlvanna , Sean McLoone , Dariusz Ceglarek

Bipedal balance is challenging due to its multi-phase, hybrid nature and high-dimensional state space. Traditional balance control approaches for bipedal robots rely on low-dimensional models for locomotion planning and reactive control,…

机器人学 · 计算机科学 2025-11-04 Suraj Kumar , Andy Ruina

Recent advances in deep reinforcement learning (RL) based techniques combined with training in simulation have offered a new approach to developing robust controllers for legged robots. However, the application of such approaches to real…

机器人学 · 计算机科学 2023-08-08 Rohan Pratap Singh , Zhaoming Xie , Pierre Gergondet , Fumio Kanehiro

This paper describes the control, and evaluation of a new human-scaled biped robot with liquid cooled viscoelastic actuators (VLCA). Based on the lessons learned from previous work from our team on VLCA [1], we present a new system design…

机器人学 · 计算机科学 2020-04-08 Junhyeok Ahn , Donghyun Kim , SeungHyeon Bang , Nick Paine , Luis Sentis

Tractor-trailer wheeled robots need to perform comprehensive perception tasks to enhance their operations in areas such as logistics parks and long-haul transportation. The perception of these robots faces three major challenges: the…

机器人学 · 计算机科学 2025-04-22 Hao Liang , Zhipeng Dong , Hao Li , Yufeng Yue , Mengyin Fu , Yi Yang

Legged robots must exhibit robust and agile locomotion across diverse, unstructured terrains, a challenge exacerbated under blind locomotion settings where terrain information is unavailable. This work introduces a hierarchical…

机器人学 · 计算机科学 2025-11-05 Matheus P. Angarola , Francisco Affonso , Marcelo Becker
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