[HTML][HTML] Multi-contact planning and control for humanoid robots: Design and validation of a complete framework

P Ferrari, L Rossini, F Ruscelli, A Laurenzi… - Robotics and …, 2023 - Elsevier
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 …

Direct multiple shooting and direct collocation perform similarly in biomechanical predictive simulations

P Puchaud, F Bailly, M Begon - Computer Methods in Applied Mechanics …, 2023 - Elsevier
Direct multiple shooting (DMS) and direct collocation (DC) are two standard transcription
methods for solving optimal control problems (OCP) in biomechanics and robotics. They …

Moving Horizon Planning for Human-Robot Interaction

H Renz, M Krämer, T Bertram - Proceedings of the 2024 ACM/IEEE …, 2024 - dl.acm.org
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 …

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 …

Design and Validation of a Multi-Arm Relocatable Manipulator for Space Applications

EM Hoffman, A Laurenzi, F Ruscelli… - … on Robotics and …, 2023 - ieeexplore.ieee.org
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 …

Active Sensing for Data Quality Improvement in Model Learning

O Napolitano, M Cognetti, L Pallottino… - IEEE Control …, 2024 - ieeexplore.ieee.org
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 …

A Real-Time Approach for Humanoid Robot Walking including Dynamic Obstacles Avoidance

L Rossini, EM Hoffman, SH Bang… - 2023 IEEE-RAS …, 2023 - ieeexplore.ieee.org
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 …

Rapid Deployment of Model Predictive Control for Robotic Systems: From IMPACT to ROS 2 Through Code Generation

A Astudillo, A Florez, W Decré… - 2024 IEEE 18th …, 2024 - ieeexplore.ieee.org
This paper presents an approach for automatic code generation of nonlinear model
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 …

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 …