Interacting,
exploring, and working with humans, the new generation of robots being
developed today will increasingly touch people and their lives, in
homes, workplaces,
and communities, providing support in services, entertainment,
education,
manufacturing, personal health care, and assistance. This presentation
focuses
on the effort to develop human-friendly robotic systems that combine
the
essential characteristics of safety, human-compatibility, and
performance with
emphasis on (i) new design concepts and novel sensing modalities; (ii)
efficient planning and whole-body humanoid robot control strategies;
and (iii)
robotic-based synthesis of human motion and skills.
Redundancy
is major challenge in the planning and control of humanoid robots. Inspired by human
behaviors, our early work
in robot control encoded tasks and diverse constraints into artificial
potential fields capturing human-like goal-driven behaviors. To
implement such
behaviors on robots with complex human-like structures we developed a
unified
whole-body task-oriented control structure that addresses dynamics in
the
context of multiple tasks, multi-point contacts, and multiple
constraints. The
performance and effectiveness of this approach have been demonstrated
through
extensive robot dynamic simulations and implementations on physical
robots for
experimental validation. The new framework provides multi-task
prioritized
control architecture allowing the simultaneous execution of multiple
objectives
in a hierarchical manner, analogous to natural human motion.
Initially
motivated by the development of human-like skills in robotics, our
extensive
study of human musculoskeletal system has brought insights and results
that
proved extremely valuable in human biomechanics. Understanding human
motion is
a complex procedure that requires accurate reconstruction of movement
sequences, modeling of musculoskeletal kinematics, dynamics, and
actuation, and
suitable criteria for the characterization of performance. These issues
have
much in common with the problems of articulated body systems studied in
robotics research. Building on methodologies and techniques developed
in
robotics, a host of new effective tools have been established for the
synthesis
of human motion. These include efficient algorithms for the simulation
of
musculoskeletal systems, novel physio-mechanical criteria and
performance
measures, real-time tracking and reconstruction of human motion, and
accurate
human performance characterization. These developments are providing
new
avenues for exploring human motion -- with exciting prospects for novel
clinical
therapies, athletic training, and performance improvement.
| Oussama Khatib
received his Doctorate degree in Electrical Engineering from Sup’Aero, |
| This event is part of the European Robotics Week – 28 November – 04 December 2011 |
Universität Bonn, Institute for Computer Science, Departments: I, II, III, IV, V, VI