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Bipedal walking over uneven terrain remains a challenging task due to the environmental complexity and unavoidable landing impact. To realize the stable and robust walking of biped robots, this paper proposes a compliant gait control method, which focuses on walking compliance and conducts research on two levels. In the gait generation level, a Continuous-Variable Spring-Loaded Inverted Pendulum with Finite-sized Foot (CVSLIP-FF) model is provided with the consideration of the ankle joint and compliant spring-loaded leg. Then, a CVSLIP-FF based gait generation pattern with relevant walking strategies is provided to enhance the mobility of biped robots. In the joint control level, an ankle joint admittance control strategy is applied to achieve compliant robot-environment interaction. Experimental results indicate that compared with the traditional SLIP model, the proposed method performs better adaptability to uneven terrain with a 217.77% improvement, and enables biped robots to cope with slight unknown disturbance.
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http://dx.doi.org/10.1016/j.isatra.2023.12.042 | DOI Listing |
Ann Biomed Eng
September 2025
Department of Training and Movement Sciences, Humboldt-Universität zu Berlin, Philippstr. 13, Haus 11, 10115, Berlin, Germany.
The functional interaction of regulatory mechanisms that manage total centre of mass (CoM) energy, frontal plane whole-body angular momentum and mediolateral margin of stability (MoS) during hole negotiation gait was investigated. Joint kinematics, leg posture, total CoM energy, frontal plane whole-body angular momentum, mediolateral MoS and muscle activation patterns of seven bilateral lower leg muscles were assessed in 18 participants. During hole negotiation, we found an increase in the peak-to-peak range of total CoM energy and frontal plane whole-body angular momentum during the preparation, hole and recovery steps, and a decrease in mediolateral MoS at touch-down during the preparation and hole steps compared to level walking, providing evidence of an increased challenge in stability control.
View Article and Find Full Text PDFJ Biomech Eng
September 2025
Department of Biomedical Engineering, Schulich School of engineering, University of Calgary, AB, Canada; Cumming School of Medicine, University of Calgary, AB, Canada.
Using a powered simple walking model (point mass with rigid massless legs), the optimal analytical push-off was derived based on walking speed and step elevation changes. It was observed that higher speeds increased the available push-off to attain greater step-up e.g.
View Article and Find Full Text PDFJ Biomech
October 2025
University of Innsbruck, Department of Sport Science, 6020 Innsbruck, Austria. Electronic address:
Here, we present a model for calculating the mechanical power delivered by the metabolism while running in alpine settings. The aim is to quantify power for various conditions in trail and mountain running, using data from modern consumer sports watches and complementary acceleration sensors. After extending an existing analytical model by including collision losses, speed-dependent elastic energy storage, a force-rate contribution, and an additional power component accounting for upper-body movement, we generalize it to running uphill and downhill.
View Article and Find Full Text PDFBiomimetics (Basel)
August 2025
Logistics Engineering College, Shanghai Maritime University, Shanghai 201306, China.
Aiming at the cooperative path-planning problem of multiple autonomous underwater vehicles in underwater three-dimensional terrain and dynamic ocean current environments, a hybrid algorithm based on the Improved Multi-Objective Particle Swarm Optimization (IMOPSO) and Dynamic Window (DWA) is proposed. The traditional particle swarm optimization algorithm is prone to falling into local optimization in high-dimensional and complex marine environments. It is difficult to meet multiple constraint conditions, the particle distribution is uneven, and the adaptability to dynamic environments is poor.
View Article and Find Full Text PDFBiomimetics (Basel)
August 2025
Tianjin Key Laboratory of Autonomous Intelligence Technology and Systems, Tiangong University, Tianjin 300387, China.
Snake robots are characterized by their flexibility and environmental adaptability, achieved through various optimized gaits. However, their forward propulsion still requires improvement. This challenge can be addressed by integrating wheels or legs, but these mechanisms often limit the ability of snake robots to perform most optimized gaits.
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