— EMG-to-force estimation for voluntary muscle contraction has many applications in human-machine interaction, motion analysis, and rehabilitation robotics for prosthetic limbs o...
Mitsuhiro Hayashibe, David Guiraud, Philippe Poign...
— In this paper, the basic running performance of the cylindrical tracked vehicle with sideways mobility is presented. The crawler mechanism is of circular cross-section and has ...
Abstract— This paper presents a methodology for the modeling and control of internal forces and moments produced during multi-contact interactions between humanoid robots and the...
— The ability to detect, and track multiple moving objects like person and other robots, is an important prerequisite for mobile robots working in dynamic indoor environments. We...
Abhijit Kundu, Madhava M. Krishna, Jayanthi Sivasw...
— This paper presents an asynchronous particle filter algorithm for mobile robot position tracking, taking into account time considerations when integrating observations being d...
Andreu Corominas Murtra, Josep Maria Mirats i Tur,...
— This paper describes a model-based probabilistic framework for tracking a fleet of laboratory-scale underwater vehicles using multiple fixed cameras. We model the target moti...
Abstract— Optimal motions are usually used as joint reference trajectories for repetitive or complex motions. In the case of soccer robots, the kicking motion is usually a benchm...
Sebastien Lengagne, Philippe Fraisse, Nacim Ramdan...
— In this paper we present a new vision-based SLAM approach for multi-robot formulation. For a cooperative map reconstruction, the robots have to know each other’s relative pos...
— This paper introduces a testbed for sensor and robot network systems, currently composed of 10 cameras and 5 mobile wheeled robots equipped with several sensors for self-locali...
Marco Barbosa, Alexandre Bernardino, Dario Figueir...
– This paper presents a predictive gain scheduler for path tracking control in a networked control system with variable delay. The controller uses the plant model to predict futu...