We consider the problem of estimating realistic contact forces during manipulation, backed
with ground-truth measurements, using vision alone. Interaction forces are usually …

Deep learning algorithms have shown remarkable performance in classification tasks,
however, they typically perform poorly with small training datasets due to overfitting …

Focusing on accurately measuring the terminal force of the hydraulic manipulator without the
force sensor, a soft-sensing method of terminal force based on the dynamic model and the …

Standing and sitting are basic tasks that become increasingly difficult with age or frailty.
Assisting these movements using humanoid robots is a complex challenge, particularly in …

Humanoid robots have great potential to perform various human-level skills. These skills
involve locomotion, manipulation, and cognitive capabilities. Driven by advances in machine …

This paper presents a novel method for detecting and estimating contact forces only from
human motions using machine learning techniques. Knowing the location of the contacts …

Accurate geometric and inertial parameter estimates of a modern manipulator are of crucial
importance to obtain good performances during a contact task or for obtaining more and …

Rather than systematically programming joint or task trajectories, having a human physically
manipulate the robot for direct adjustments is more intuitive, saves time, and increases …

Detecting foot-ground contact is important for inertial motion capture systems because it can
provide kinematic constraints to improve human motion capture accuracy. The popular …

In general, for the configuration designs of underwater robots, the positions and directions of
actuators (ie, thrusters) are given and installed in conventional ways (known points …