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Most humanoid robots have highly complicated structure and design of robots that are very similar to human is extremely difficult. In this paper, modelling of a general and comprehensive algorithm for control of humanoid robots is presented…

Robotics · Computer Science 2014-04-11 Saeid Pashazadeh , Saeed Saeedvand

The complexity of a legged robot's environment or task can inform how specialised its gait must be to ensure success. Evolving specialised robotic gaits demands many evaluations - acceptable for computer simulations, but not for physical…

Robotics · Computer Science 2019-02-13 Tønnes Frostad Nygaard , Charles Patrick Martin , Jim Torresen , Kyrre Glette

Integrating Large Language Models (VLMs) and Vision-Language Models (VLMs) with robotic systems enables robots to process and understand complex natural language instructions and visual information. However, a fundamental challenge remains:…

Robotics · Computer Science 2024-03-18 Yuhang Hu , Yunzhe Wang , Ruibo Liu , Zhou Shen , Hod Lipson

Robot positioning accuracy is a key factory when performing high-precision manufacturing tasks. To effectively improve the accuracy of a manipulator, often up to a value close to its repeatability, calibration plays a crucial role. In the…

Robotics · Computer Science 2025-02-24 Giovanni Boschetti , Teresa Sinico

For safe and effective operation of humanoid robots in human-populated environments, the problem of commanding a large number of Degrees of Freedom (DoF) while simultaneously considering dynamic obstacles and human proximity has still not…

Robotics · Computer Science 2024-12-12 Jakub Rozlivek , Alessandro Roncone , Ugo Pattacini , Matej Hoffmann

Throwing with a legged robot involves precise coordination of object manipulation and locomotion - crucial for advanced real-world interactions. Most research focuses on either manipulation or locomotion, with minimal exploration of tasks…

Robotics · Computer Science 2025-04-02 Humphrey Munn , Brendan Tidd , Peter Böhm , Marcus Gallagher , David Howard

Legged robots have shown remarkable advantages in navigating uneven terrain. However, realizing effective locomotion and manipulation tasks on quadruped robots is still challenging. In addition, object and terrain parameters are generally…

Robotics · Computer Science 2023-03-14 Mohsen Sombolestan , Quan Nguyen

For robots with low rigidity, determining the robot's state based solely on kinematics is challenging. This is particularly crucial for a robot whose entire body is in contact with the environment, as accurate state estimation is essential…

Robotics · Computer Science 2024-10-22 Kengo Iwao , Hikaru Arita , Kenji Tahara

Many methods exist for a bipedal robot to keep its balance while walking. In addition to step size and timing, other strategies are possible that influence the stability of the robot without interfering with the target direction and speed…

Robotics · Computer Science 2018-10-15 Philipp Allgeuer , Sven Behnke

Identifying and controlling an unstable, underactuated robot to enable reference tracking is a challenging control problem. In this paper, a ballbot (robot balancing on a ball) is used as an experimental setup to demonstrate and test…

Optimization and Control · Mathematics 2024-04-24 Tobias Fischer , Dimitrios S. Karachalios , Ievgen Zhavzharov , Hossam S. Abbas

Stewart platform-based Parallel Kinematic (PKM) Machines have been extensively studied by researchers due to their inherent finer control characteristics. This has opened its potential deployment opportunities in versatile critical…

Robotics · Computer Science 2025-10-24 Sourabh Karmakar , Apurva Patel , Cameron J. Turner

A common approach to the generation of walking patterns for humanoid robots consists in adopting a layered control architecture. This paper proposes an architecture composed of three nested control loops. The outer loop exploits a robot…

Humanoid robots often face significant balance issues due to the motion of their heavy limbs. These challenges are particularly pronounced when attempting dynamic motion or operating in environments with irregular terrain. To address this…

Robotics · Computer Science 2025-11-18 Tianlin Zhang , Linzhu Yue , Hongbo Zhang , Lingwei Zhang , Xuanqi Zeng , Zhitao Song , Yun-Hui Liu

A safety-critical measure of legged locomotion performance is a robot's ability to track its desired time-varying position trajectory in an environment, which is herein termed as "global-position tracking". This paper introduces a nonlinear…

Robotics · Computer Science 2021-08-10 Yan Gu , Yuan Gao , Bin Yao , C. S. George Lee

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

We present an efficient algorithm for motion planning and control of a robot system with a high number of degrees-of-freedom. These include high-DOF soft robots or an articulated robot interacting with a deformable environment. Our approach…

Robotics · Computer Science 2018-10-08 Biao Jia , Zherong Pan , Dinesh Manocha

Humanoid robots are machines built with an anthropomorphic shape. Despite decades of research into the subject, it is still challenging to tackle the robot locomotion problem from an algorithmic point of view. For example, these machines…

Robotics · Computer Science 2020-04-28 Stefano Dafarra

Legged manipulators extend robotic capabilities beyond static manipulation by integrating agile locomotion with versatile arm control. However, achieving precise manipulation while maintaining coordinated locomotion remains a major…

We describe a whole-body dynamic walking controller implemented as a convex quadratic program. The controller solves an optimal control problem using an approximate value function derived from a simple walking model while respecting the…

Robotics · Computer Science 2017-03-07 Scott Kuindersma , Frank Permenter , Russ Tedrake

We present a scalable framework for cross-embodiment humanoid robot control by learning a shared latent representation that unifies motion across humans and diverse humanoid platforms, including single-arm, dual-arm, and legged humanoid…

Robotics · Computer Science 2026-01-23 Yashuai Yan , Dongheui Lee