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Deep reinforcement learning (RL) based controllers for legged robots have demonstrated impressive robustness for walking in different environments for several robot platforms. To enable the application of RL policies for humanoid robots in…

Robotics · Computer Science 2022-11-01 Rohan Pratap Singh , Mehdi Benallegue , Mitsuharu Morisawa , Rafael Cisneros , Fumio Kanehiro

This paper introduces the Stoch BiRo, a cost-effective bipedal robot designed with a modular mechanical structure having point feet to navigate uneven and unfamiliar terrains. The robot employs proprioceptive actuation in abduction, hips,…

Robotics · Computer Science 2023-12-12 GVS Mothish , Karthik Rajgopal , Ravi Kola , Manan Tayal , Shishir Kolathaya

Humans are able to negotiate downstep behaviors -- both planned and unplanned -- with remarkable agility and ease. The goal of this paper is to systematically study the translation of this human behavior to bipedal walking robots, even if…

Robotics · Computer Science 2022-09-08 Joris Verhagen , Xiaobin Xiong , Aaron Ames , Ajay Seth

For legged robots to match the athletic capabilities of humans and animals, they must not only produce robust periodic walking and running, but also seamlessly switch between nominal locomotion gaits and more specialized transient…

Robotics · Computer Science 2022-07-19 Fangzhou Yu , Ryan Batke , Jeremy Dao , Jonathan Hurst , Kevin Green , Alan Fern

When a big and heavy robot moves, it exerts large forces on the environment and on its own structure, its angular momentum can varysubstantially, and even the robot's structure can deform if there is a mechanical weakness. Under these…

Systems and Control · Electrical Eng. & Systems 2022-10-28 Nahuel A Villa , Pierre Fernbach , Maximilien Naveau , Guilhem Saurel , Ewen Dantec , Nicolas Mansard , Olivier Stasse

Bio-inspired walking hexapod robots are a relatively young branch in robotics in both state of the art and applications. Despite their high degree of flexibility and adaptability derived by their redundant design, the research field that…

Robotics · Computer Science 2021-12-21 Marco Zangrandi , Stefano Arrigoni , Francesco Braghin

This paper presents an online framework for synthesizing agile locomotion for bipedal robots that adapts to unknown environments, modeling errors, and external disturbances. To this end, we leverage step-to-step (S2S) dynamics which has…

Robotics · Computer Science 2023-08-08 Min Dai , Xiaobin Xiong , Jaemin Lee , Aaron D. Ames

This paper presents a framework that leverages both control theory and machine learning to obtain stable and robust bipedal locomotion without the need for manual parameter tuning. Traditionally, gaits are generated through trajectory…

Robotics · Computer Science 2021-03-31 Maegan Tucker , Noel Csomay-Shanklin , Wen-Loong Ma , Aaron D. Ames

In this paper we present advancements in control and trajectory generation for agile behavior in bipedal robots. We demonstrate that Whole-Body Operational Space Control (WBOSC), developed a few years ago, is well suited for achieving two…

Robotics · Computer Science 2015-01-14 Donghyun Kim , Ye Zhao , Gray Thomas , Luis Sentis

For the deployment of legged robots in real-world environments, it is essential to develop robust locomotion control methods for challenging terrains that may exhibit unexpected deformability and irregularity. In this paper, we explore the…

Robotics · Computer Science 2025-04-21 Rohan P. Singh , Mitsuharu Morisawa , Mehdi Benallegue , Zhaoming Xie , Fumio Kanehiro

The ability of bipedal robots to adapt to diverse and unstructured terrain conditions is crucial for their deployment in real-world environments. To this end, we present a novel, bio-inspired robot foot design with stabilizing tarsal…

Robotics · Computer Science 2023-04-20 Ted Tyler , Vaibhav Malhotra , Adam Montague , Zhigen Zhao , Frank L. Hammond , Ye Zhao

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

This paper proposes a modular framework to generate robust biped locomotion using a tight coupling between an analytical walking approach and deep reinforcement learning. This framework is composed of six main modules which are…

Robotics · Computer Science 2021-12-23 Mohammadreza Kasaei , Miguel Abreu , Nuno Lau , Artur Pereira , Luis Paulo Reis

Model-based control usually relies on an accurate model, which is often obtained from CAD and actuator models. The more accurate the model the better the control performance. However, in bipedal robots that demonstrate high agility actions,…

Robotics · Computer Science 2021-07-27 Bolun Dai

Contact modeling plays a central role in motion planning, simulation, and control of legged robots, as legged locomotion is realized through contact. The two prevailing approaches to model the contact consider rigid and compliant premise at…

Bipeds have demonstrated high agility and mobility in unstructured environments such as sand. The yielding of such granular media brings significant sinkage and slip of the bipedal feet, leading to uncertainty and instability of walking…

Robotics · Computer Science 2026-04-15 Xunjie Chen , Xinyan Huang , Peter Shan , Jingang Yi , Tao Liu

A multi-joint enabled robot requires extensive mathematical calculations to determine the end effector's position with respect to the other connective joints involved and their corresponding frames in a specific coordinate system. If a…

Robotics · Computer Science 2024-08-01 Abid Shahriar

A robot guide dog has compelling advantages over animal guide dogs for its cost-effectiveness, potential for mass production, and low maintenance burden. However, despite the long history of guide dog robot research, previous studies were…

Robotics · Computer Science 2022-10-25 Hochul Hwang , Tim Xia , Ibrahima Keita , Ken Suzuki , Joydeep Biswas , Sunghoon I. Lee , Donghyun Kim

Wheeled bipedal robots (WBRs) have the capability to execute agile and versatile locomotion tasks. This paper focuses on improving the dynamic performance of WBRs through innovations in both hardware and software development. Inspired by…

Robotics · Computer Science 2024-10-21 Haizhou Zhao , Lei Yu , Siying Qin , Gumin Jin , Yuqing Chen

Achieving stable bipedal walking on surfaces with unknown motion remains a challenging control problem due to the hybrid, time-varying, partially unknown dynamics of the robot and the difficulty of accurate state and surface motion…

Robotics · Computer Science 2024-10-16 Jacob Stewart , I-Chia Chang , Yan Gu , Petros A. Ioannou