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Last decades of humanoid research has shown that humanoids developed for high dynamic performance require a stiff structure and optimal distribution of mass--inertial properties. Humanoid robots built with a purely tree type architecture…

We consider the problem of controlling an aerial robot connected to the ground by a passive cable or a passive rigid link. We provide a thorough characterization of this nonlinear dynamical robotic system in terms of fundamental properties…

Robotics · Computer Science 2017-12-20 Marco Tognon , Antonio Franchi

Centipede-like robots offer unique locomotion advantages due to their small cross-sectional area for accessing confined spaces, and their redundant legs enhance robustness in cluttered environments such as search-and-rescue and pipe…

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…

Robotics · Computer Science 2023-08-08 Rohan Pratap Singh , Zhaoming Xie , Pierre Gergondet , Fumio Kanehiro

Agriculture is currently undergoing a robotics revolution, but robots using wheeled or treads suffer from known disadvantages: they are unable to move over rubble and steep or loose ground, and they trample continuous strips of land thereby…

Robotics · Computer Science 2021-12-13 Sandilya Sai Garimella , Shai Revzen

Parkour is a grand challenge for legged locomotion, even for quadruped robots, requiring active perception and various maneuvers to overcome multiple challenging obstacles. Existing methods for humanoid locomotion either optimize a…

Robotics · Computer Science 2024-09-27 Ziwen Zhuang , Shenzhe Yao , Hang Zhao

Developing agile behaviors for legged robots remains a challenging problem. While deep reinforcement learning is a promising approach, learning truly agile behaviors typically requires tedious reward shaping and careful curriculum design.…

Robotics · Computer Science 2020-11-12 Atil Iscen , George Yu , Alejandro Escontrela , Deepali Jain , Jie Tan , Ken Caluwaerts

Magnetic Levitation (MagLev) systems fundamentally increase the flexibility of in-machine material flow in industrial automation. Therefore, these systems enable dynamic throughput optimization, which is especially beneficial for high-mix…

Robotics · Computer Science 2026-03-03 Lara Bergmann , Noah Greis , Klaus Neumann

Blueprint of an in-pipe climbing robot that works with sharp transmissions to study complex line relationships. Standard wheeled/happening pipe climbing robots tend to slide when exploring pipe turns. Instruments help achieve a very…

Robotics · Computer Science 2022-08-16 Weiyao Lai , Wei Xu , Marc Bernhard

This work is on vision-based planning strategies for legged robots that separate locomotion planning into foothold selection and pose adaptation. Current pose adaptation strategies optimize the robot's body pose relative to given footholds.…

Robotics · Computer Science 2023-03-06 Shamel Fahmi , Victor Barasuol , Domingo Esteban , Octavio Villarreal , Claudio Semini

Although bipedal locomotion provides the ability to traverse unstructured environments, it requires careful planning and control to safely walk across without falling. This poses an integrated challenge for the robot to perceive, plan, and…

We introduce StaccaToe, a human-scale, electric motor-powered single-leg robot designed to rival the agility of human locomotion through two distinctive attributes: an actuated toe and a co-actuation configuration inspired by the human leg.…

We developed a new class of soft locomotive robots that can self-assemble into a preprogrammed configuration and vary their stiffness afterward in a highly integrated, compact body using contracting-cord particle jamming (CCPJ). We…

Robotics · Computer Science 2024-10-07 Wenzhong Yan , Brian Ye , Mingxi Li , Jonathan B. Hopkins , Ankur Mehta

Robotic Hopping is challenging from the perspective of both modeling the dynamics as well as the mechanical design due to the short period of ground contact in which to actuate on the world. Previous work has demonstrated stable hopping on…

Robotics · Computer Science 2019-10-01 Eric Ambrose , Aaron D. Ames

The waist plays a crucial role in the agile movement of many animals in nature. It provides the torso with additional degrees of freedom and flexibility, inspiring researchers to incorporate this biological feature into robotic structures…

Robotics · Computer Science 2024-11-05 Quancheng Qian , Xiaoyi Wei , Zonghao Zhang , Jiaxin Tu , Yueqi Zhang , Taixian Hou , Xiaofei Gao , Peng Zhai , Lihua Zhang

Reinforcement learning (RL) for bipedal locomotion has recently demonstrated robust gaits over moderate terrains using only proprioceptive sensing. However, such blind controllers will fail in environments where robots must anticipate and…

Robotics · Computer Science 2024-07-10 Helei Duan , Bikram Pandit , Mohitvishnu S. Gadde , Bart van Marum , Jeremy Dao , Chanho Kim , Alan Fern

Spring-driven jumping robots use an energised spring for propulsion, while the onboard motor only serves as a spring-charging source. A common mechanism in designing these robots is the rhomboidal linkage, which has been combined with…

Robotics · Computer Science 2023-11-07 John Lo , Ben Parslew

Robotic tails can enhance the stability and maneuverability of mobile robots, but current designs face a trade-off between the power of rigid systems and the safety of soft ones. Rigid tails generate large inertial effects but pose risks in…

Robotics · Computer Science 2025-09-25 Sicong Liu , Jianhui Liu , Fang Chen , Wenjian Yang , Juan Yi , Yu Zheng , Zheng Wang , Wanchao Chi , Chaoyang Song

Most legged robots are built with leg structures from serially mounted links and actuators and are controlled through complex controllers and sensor feedback. In comparison, animals developed multi-segment legs, mechanical coupling between…

Robotics · Computer Science 2023-02-09 Abhishek Chatterjee , An Mo , Bernadett Kiss , Emre Cemal Gönen , Alexander Badri-Spröwitz

In this work, we demonstrate robust walking in the bipedal robot Digit on uneven terrains by just learning a single linear policy. In particular, we propose a new control pipeline, wherein the high-level trajectory modulator shapes the…