paper-with-me

홈 › Papers

An Efficient Paradigm for Feasibility Guarantees in Legged Locomotion

2020-11-16 · Abdelrahman Abdallah, Michele Focchi, Romeo Orsolino, Claudio Semini

Developing feasible body trajectories for legged systems on arbitrary terrains is a challenging task. In this paper, we present a paradigm that allows to design feasible Center of Mass (CoM) and body trajectories in an efficient manner. In our previous work [1], we introduced the notion of the 2D feasible region, where static balance and the satisfaction of joint torque limits were guaranteed, whenever the projection of the CoM lied inside the proposed admissible region. In this work we propose a general formulation of the improved feasible region that guarantees dynamic balance alongside the satisfaction of both joint-torque and kinematic limits in an efficient manner. To incorporate the feasibility of the kinematic limits, we introduce an algorithm that computes the reachable region of the CoM. Furthermore, we propose an efficient planning strategy that utilizes the improved feasible region to design feasible CoM and body orientation trajectories. Finally, we validate the capabilities of the improved feasible region and the effectiveness of the proposed planning strategy, using simulations and experiments on the 90 kg Hydraulically actuated Quadruped (HyQ) and the 21 kg Aliengo robots.

📄 PDF Abstract BibTeX arXiv:2011.07967

Code (1)

abdelrahman-h-abdalla/jet-leg 공식 구현

Similar Papers 제목 키워드 기반

ATRos: Learning Energy-Efficient Agile Locomotion for Wheeled-legged Robots

2025-10-11 · Jingyuan Sun, Hongyu Ji, Zihan Qu, Chaoran Wang 외 arxiv

Hybrid locomotion of wheeled-legged robots has recently attracted increasing attention due to their advantages of combining the agility of legged locomotion and the efficiency of wheeled motion. But along with expanded p…

Reinforcement Learning

On-line and on-board planning and perception for quadrupedal locomotion

2019-04-07 · Carlos Mastalli, Ioannis Havoutis, Alexander W. Winkler, Darwin G. Caldwell 외

We present a legged motion planning approach for quadrupedal locomotion over challenging terrain. We decompose the problem into body action planning and footstep planning. We use a lattice representation together with a …

Motion Planning

Learning Robust Autonomous Navigation and Locomotion for Wheeled-Legged Robots

2024-05-03 · Joonho Lee, Marko Bjelonic, Alexander Reske, Lorenz Wellhausen 외

Autonomous wheeled-legged robots have the potential to transform logistics systems, improving operational efficiency and adaptability in urban environments. Navigating urban environments, however, poses unique challenges…

Autonomous NavigationNavigateReinforcement Learning (RL)

X2-N: A Transformable Wheel-legged Humanoid Robot with Dual-mode Locomotion and Manipulation

2026-04-23 · Yan Ning, Xingzhou Chen, Delong Li, Hao Zhang 외 arxiv

Wheel-legged robots combine the efficiency of wheeled locomotion with the versatility of legged systems, enabling rapid traversal over both continuous and discrete terrains. However, conventional designs typically employ…

Reinforcement Learning

A Foot Resistive Force Model for Legged Locomotion on Muddy Terrains

2026-04-13 · Xunjie Chen, Liuyin Wang, Xinyan Huang, Jerry Shan 외 arxiv

Legged robots face significant challenges in moving and navigating on deformable and highly yielding terrain such as mud. We present a resistive force model for legged foot-mud interactions. The model captures rheologica…