[HTML][HTML] Multi-contact planning and control for humanoid robots: Design and validation of a complete framework
In this paper, we consider the problem of generating appropriate motions for a torque-
controlled humanoid robot that is assigned a multi-contact loco-manipulation task, ie, a task …
controlled humanoid robot that is assigned a multi-contact loco-manipulation task, ie, a task …
Direct multiple shooting and direct collocation perform similarly in biomechanical predictive simulations
Direct multiple shooting (DMS) and direct collocation (DC) are two standard transcription
methods for solving optimal control problems (OCP) in biomechanics and robotics. They …
methods for solving optimal control problems (OCP) in biomechanics and robotics. They …
Moving Horizon Planning for Human-Robot Interaction
The collaboration and interaction between humans and robots intensify with ongoing
research and industry needs. Robots require a motion planner that contributes to a safe …
research and industry needs. Robots require a motion planner that contributes to a safe …
Nonlinear Model Predictive Control for a Self-balancing Wheelchair
C Liu, K Qin, G Xin, C Li, S Wang - IEEE Access, 2024 - ieeexplore.ieee.org
The self-balancing wheelchair is characterized by its small size, flexibility, and strong ground
adaptability. To expand the control range of the pitch angle and enhance the stability of the …
adaptability. To expand the control range of the pitch angle and enhance the stability of the …
Design and Validation of a Multi-Arm Relocatable Manipulator for Space Applications
This work presents the computational design and validation of the Multi-Arm Relocatable
Manipulator (MARM), a three-limb robot for space applications, with particular reference to …
Manipulator (MARM), a three-limb robot for space applications, with particular reference to …
Active Sensing for Data Quality Improvement in Model Learning
In machine learning for robotics, training data quality assumes a crucial role. Many methods
use exploration algorithms to select the most informative data points for the model, often …
use exploration algorithms to select the most informative data points for the model, often …
A Real-Time Approach for Humanoid Robot Walking including Dynamic Obstacles Avoidance
This paper proposes a novel approach to online re-plan the walking trajectory of a biped
humanoid robot to avoid unexpected interactions and impacts with dynamic obstacles that …
humanoid robot to avoid unexpected interactions and impacts with dynamic obstacles that …
Rapid Deployment of Model Predictive Control for Robotic Systems: From IMPACT to ROS 2 Through Code Generation
This paper presents an approach for automatic code generation of nonlinear model
predictive controllers (NMPC) for robotic systems as ROS 2 packages. The developed …
predictive controllers (NMPC) for robotic systems as ROS 2 packages. The developed …
Motion Planning for Underactuated Systems through Path Parameterisation
DM Abood - 2024 - ses.library.usyd.edu.au
Underactuated systems are becoming an essential field of study within robotics given the
rapid advancement and prevalence of legged and flying systems within the modern world …
rapid advancement and prevalence of legged and flying systems within the modern world …
Curiosity-driven AI for Science: Automated Discovery of Self-Organized Structures
M Etcheverry - 2023 - theses.hal.science
Complex systems are very hard to predict and control due to their chaotic dynamics and
open-ended outcomes. However, understanding and harnessing the underlying …
open-ended outcomes. However, understanding and harnessing the underlying …