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This paper presents a unified control framework for robust trajectory tracking and moving obstacle avoidance applicable to a broad class of mobile robots. By formulating a generalized kinematic transformation, we convert diverse vehicle…

Systems and Control · Electrical Eng. & Systems 2026-04-28 Shubham Sawarkar , P Sangeerth , S Saharsh , Pushpak Jagtap

Serially connected robots are promising candidates for performing tasks in confined spaces such as search-and-rescue in large-scale disasters. Such robots are typically limbless, and we hypothesize that the addition of limbs could improve…

The deformable and continuum nature of soft robots promises versatility and adaptability. However, control of modular, multi-limbed soft robots for terrestrial locomotion is challenging due to the complex robot structure, actuator mechanics…

Robotics · Computer Science 2016-02-05 Vishesh Vikas , Piyush Grover , Barry Trimmer

As both legged robots and embedded compute have become more capable, researchers have started to focus on field deployment of these robots. Robust autonomy in unstructured environments requires perception of the world around the robot in…

Robotics · Computer Science 2022-09-22 Hersh Sanghvi

Robotic locomotion is often approached with the goal of maximizing robustness and reactivity by increasing motion control frequency. We challenge this intuitive notion by demonstrating robust and dynamic locomotion with a learned motion…

Robotics · Computer Science 2023-02-22 Siddhant Gangapurwala , Luigi Campanaro , Ioannis Havoutis

Continuum robots have gained widespread popularity due to their inherent compliance and flexibility, particularly their adjustable levels of stiffness for various application scenarios. Despite efforts to dynamic modeling and control…

Robotics · Computer Science 2024-09-17 Bowen Yi , Yeman Fan , Dikai Liu , Jose Guadalupe Romero

Recently, several approaches have attempted to combine motion generation and control in one loop to equip robots with reactive behaviors, that cannot be achieved with traditional time-indexed tracking controllers. These approaches however…

Robotics · Computer Science 2023-09-28 Youssef Michel , Matteo Saveriano , Fares J. Abu-Dakka , Dongheui Lee

Overcoming robotics challenges in the real world requires resilient control systems capable of handling a multitude of environments and unforeseen events. Evolutionary optimization using simulations is a promising way to automatically…

Robotics · Computer Science 2019-04-12 Jørgen Nordmoen , Tønnes F. Nygaard , Kai Olav Ellefsen , Kyrre Glette

Wheeled-legged robots have the potential for highly agile and versatile locomotion. The combination of legs and wheels might be a solution for any real-world application requiring rapid, and long-distance mobility skills on challenging…

Robotics · Computer Science 2020-02-07 Marko Bjelonic , Prajish K. Sankar , C. Dario Bellicoso , Heike Vallery , Marco Hutter

Humanoid robots offer significant versatility for performing a wide range of tasks, yet their basic ability to walk and run, especially at high velocities, remains a challenge. This letter presents a novel method that combines deep…

Robotics · Computer Science 2024-10-22 Xinming Zhang , Xianghui Wang , Lerong Zhang , Guodong Guo , Xiaoyu Shen , Wei Zhang

An attached arm can significantly increase the applicability of legged robots to several mobile manipulation tasks that are not possible for the wheeled or tracked counterparts. The standard hierarchical control pipeline for such legged…

Robotics · Computer Science 2022-10-19 Zipeng Fu , Xuxin Cheng , Deepak Pathak

Legged locomotion is a complex control problem that requires both accuracy and robustness to cope with real-world challenges. Legged systems have traditionally been controlled using trajectory optimization with inverse dynamics. Such…

Robotics · Computer Science 2024-01-23 Fabian Jenelten , Junzhe He , Farbod Farshidian , Marco Hutter

While the transport of matter by wheeled vehicles or legged robots can be guaranteed in engineered landscapes like roads or rails, locomotion prediction in complex environments like collapsed buildings or crop fields remains challenging.…

Robotics · Computer Science 2023-05-09 Baxi Chong , Juntao He , Daniel Soto , Tianyu Wang , Daniel Irvine , Grigoriy Blekherman , Daniel I. Goldman

Legged robots must achieve both robust locomotion and energy efficiency to be practical in real-world environments. Yet controllers trained in simulation often fail to transfer reliably, and most existing approaches neglect…

Robotics · Computer Science 2025-09-09 Filip Bjelonic , Fabian Tischhauser , Marco Hutter

When legged robots impact their environment, they undergo large changes in their velocities in a small amount of time. Measuring and applying feedback to these velocities is challenging, and is further complicated due to uncertainty in the…

Robotics · Computer Science 2022-03-14 William Yang , Michael Posa

We present an integrated approach to locomotion and balancing of humanoid robots based on direct centroidal control. Our method uses a five-mass description of a humanoid. It generates whole-body motions from desired foot trajectories and…

Robotics · Computer Science 2022-08-10 Grzegorz Ficht , Sven Behnke

Bipedal locomotion is a key challenge in robotics, particularly for robots like Bolt, which have a point-foot design. This study explores the control of such underactuated robots using constrained reinforcement learning, addressing their…

Worm-inspired robots provide an effective locomotion strategy for constrained environments by combining cyclic body deformation with alternating anchoring. For compliant robots, however, the interaction between deformable anchoring…

Robotics · Computer Science 2026-04-15 Xinyu Zhou , Yu Mei , Faith Thomson , Christian Luedtke , Xinda Qi , Xiaobo Tan

Inchworm crawling allows for both quasistatic and dynamic gaits at a wide range of actuation frequencies. This locomotion mechanism is common in nonskeletal animals and exploited extensively in the bio-inspired field of soft robotics. In…

Robotics · Computer Science 2020-09-10 Benny Gamus , Amir D. Gat , Yizhar Or

Recent advancements in legged locomotion research have made legged robots a preferred choice for navigating challenging terrains when compared to their wheeled counterparts. This paper presents a novel locomotion policy, trained using Deep…

Robotics · Computer Science 2023-05-04 Lokesh Kumar , Sarvesh Sortee , Titas Bera , Ranjan Dasgupta
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