Ke Liang

AI-Driven Robotics: Innovations in Design, Perception, and Decision-Making

Exhaust emissions prediction in spark ignition engine using LightGBM optimized with the marine predators algorithm

Sensorless force estimation of teleoperation system based on multilayer depth Extreme Learning Machine

Collision-Risk Assessment Model for Teleoperation Robots Considering Acceleration

A Graph Robot Network for Force Observer of Teleoperation Systems

Prediction and Elimination of Physiological Tremor During Control of Teleoperated Robot Based on Deep Learning

An Automated Skill Assessment Framework Based on Visual Motion Signals and a Deep Neural Network in Robot-Assisted Minimally Invasive Surgery

Research on force and position control performance of the tendon sheath system with time‐varying parameters and flexible robotic arms

A Robot Learning from Demonstration Method Based on Neural Network and Teleoperation

Multistep prediction of remaining useful life of proton exchange membrane fuel cell based on temporal convolutional network

Collision risk assessment and automatic obstacle avoidance strategy for teleoperation robots

An exploitation-boosted sine cosine algorithm for global optimization

An adaptive sparse general regression neural network-based force observer for teleoperation system

An effective tremor-filtering model in teleoperation: Three-domain Wavelet Least Square Support Vector Machine

Sensitivity analysis of diesel particulate filters to geometric parameters during soot loading and its multi-objective optimization

Broad learning extreme learning machine for forecasting and eliminating tremors in teleoperation