000			05293nam a22004695i 4500
001			978-4-431-31381-6
003			DE-He213
005			20161121230531.0
007			cr nn 008mamaa
008			100301s2006 ja | s |||| 0|eng d
020			_a9784431313816 _9978-4-431-31381-6
024	7		_a10.1007/4-431-31381-8 _2doi
050		4	_aQ334-342
050		4	_aTJ210.2-211.495
072		7	_aUYQ _2bicssc
072		7	_aTJFM1 _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
245	1	0	_aAdaptive Motion of Animals and Machines _h[electronic resource] / _cedited by Hiroshi Kimura, Kazuo Tsuchiya, Akio Ishiguro, Hartmut Witte.
264		1	_aTokyo : _bSpringer Tokyo, _c2006.
300			_a280 p. 100 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aMotion Generation and Adaptation in Animals -- Overview of Adaptive Motion in Animals and Its Control Principles Applied to Machines -- Robust Behaviour of the Human Leg -- Control of Hexapod Walking in Biological Systems -- Purposive Locomotion of Insects in an Indefinite Environment -- Control Principles for Locomotion -Looking Toward Biology -- Higher Nervous Control of Quadrupedal vs Bipedal Locomotion in Non-human Primates; Common and Specific Properties -- Adaptive Mechanics -- Interactions between Motions of the Trunk and the Angle of Attack of the Forelimbs in Synchronous Gaits of the Pika (Ochotona rufescens) -- On the Dynamics of Bounding and Extensions: Towards the Half-Bound and Gallop Gaits -- Machine Design and Control -- Jumping, Walking, Dancing, Reaching: Moving into the Future. Design Principles for Adaptive Motion -- Towards a “Well-Balanced” Design: How Should Control and Body Systems be Coupled? -- Experimental Study on Control of Redundant 3-D Snake Robot Based on a Kinematic Model -- Bipedal Locomotion Utilizing Natural Dynamics -- Simulation Study of Self-Excited Walking of a Biped Mechanism with Bent Knee -- Design and Construction of MIKE; a 2-D Autonomous Biped Based on Passive Dynamic Walking -- Learning Energy-Efficient Walking with Ballistic Walking -- Motion Generation and Control of Quasi Passsive Dynamic Walking Based on the Concept of Delayed Feedback Control -- Neuro-Mechanics & CPG and/or Reflexes -- Gait Transition from Swimming to Walking: Investigation of Salamander Locomotion Control Using Nonlinear Oscillators -- Nonlinear Dynamics of Human Locomotion: from Real-Time Adaptation to Development -- Towards Emulating Adaptive Locomotion of a Quadrupedal Primate by a Neuro-musculo-skeletal Model -- Dynamics-Based Motion Adaptation for a Quadruped Robot -- A Turning Strategy of a Multi-legged Locomotion Robot -- A Behaviour Network Concept for Controlling Walking Machines -- Adaptation at Higher Nervous Level -- Control of Bipedal Walking in the Japanese Monkey, M. fuscata: Reactive and Anticipatory Control Mechanisms -- Dynamic Movement Primitives -A Framework for Motor Control in Humans and Humanoid Robotics -- Coupling Environmental Information from Visual System to Changes in Locomotion Patterns: Implications for the Design of Adaptable Biped Robots.
520			_a• Motivation It is our dream to understand the principles of animals’ remarkable ability for adaptive motion and to transfer such abilities to a robot. Up to now, mechanisms for generation and control of stereotyped motions and adaptive motions in well-known simple environments have been formulated to some extentandsuccessfullyappliedtorobots.However,principlesofadaptationto variousenvironmentshavenotyetbeenclari?ed,andautonomousadaptation remains unsolved as a seriously di?cult problem in robotics. Apparently, the ability of animals and robots to adapt in a real world cannot be explained or realized by one single function in a control system and mechanism. That is, adaptation in motion is induced at every level from thecentralnervoussystemtothemusculoskeletalsystem.Thus,weorganized the International Symposium on Adaptive Motion in Animals and Machines(AMAM)forscientistsandengineersconcernedwithadaptation onvariouslevelstobebroughttogethertodiscussprinciplesateachleveland to investigate principles governing total systems. • History AMAM started in Montreal (Canada) in August 2000. It was organized by H. Kimura (Japan), H. Witte (Germany), G. Taga (Japan), and K. Osuka (Japan), who had agreed that having a small symposium on motion control, with people from several ?elds coming together to discuss speci?c issues, was worthwhile. Those four organizing committee members determined the scope of AMAM as follows.
650		0	_aComputer science.
650		0	_aArtificial intelligence.
650	1	4	_aComputer Science.
650	2	4	_aArtificial Intelligence (incl. Robotics).
700	1		_aKimura, Hiroshi. _eeditor.
700	1		_aTsuchiya, Kazuo. _eeditor.
700	1		_aIshiguro, Akio. _eeditor.
700	1		_aWitte, Hartmut. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9784431241645
856	4	0	_uhttp://dx.doi.org/10.1007/4-431-31381-8
912			_aZDB-2-SCS
950			_aComputer Science (Springer-11645)
999			_c500181 _d500181