Historical perspective and state of the art in robot force control
International Journal of Robotics Research
Contribution to control of redundant robotic manipulators in an environment withobstacles
International Journal of Robotics Research
Knowledge-Based Control with Applications to Robots
Knowledge-Based Control with Applications to Robots
Automatica (Journal of IFAC)
Scientific Fundamentals of Robotics 2: Control of Manipulation Robots, Theory and Application
Scientific Fundamentals of Robotics 2: Control of Manipulation Robots, Theory and Application
Journal of Intelligent and Robotic Systems
How to Control Robots Interacting with Dynamic Environment
Journal of Intelligent and Robotic Systems
Control of Robots with Elastic Joints Interacting with Dynamic Environment
Journal of Intelligent and Robotic Systems
Internal Redundancy – the Way to Improve Robot Dynamics and Control Performances
Journal of Intelligent and Robotic Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Hi-index | 0.00 |
Based on the author's knowledge the paper gives a brief account of some of the scientific achievements of robotics that were of crucial importance to its development.In a rough chronological order these are: zero-moment concept and semi-inverse method; recursive formulation of robot dynamics; computer-aided derivation of robot dynamics in symbolic form; dynamic approach to generation of trajectories of robotic manipulators; centralized feedforward control in robotics; robot dynamic control; decentralized control and observer applied to strongly coupled active mechanisms; force feedback in dynamic control of robots; decentralized control stability tests for robotic mechanisms; underactuated robotic systems; practical stability tests in robotics; unified approach to control laws synthesis for robot interacting with dynamic environment; modeling and control of multi-arm cooperating robots interacting with environment; connectionist algorithms for advanced learning control of robots interacting with dynamic environment; fuzzy logic robot control with model-based dynamic compensation, and internal redundancy – a new way to improve robot dynamic performance.