Intelligent Robotics and Applications: 9th International Conference, ICIRA 2015, Portsmouth, UK, August 24–27, 2015, Proceedings, Part III

Autonomous exploration of an unknown environment by a mobile robot can be beneficial as robots can navigate in unknown environments without maps being supplied. Also it provides the possibility to produce maps without human interaction. Frontier based exploration is used here as the method for exploration. Some simulation and real world results with a Pioneer 3-AT are presented and discussed. Both simulation and real world experiments use ROS.

[1]  Majid Nili Ahmadabadi,et al.  Benefits of an active spine supported bounding locomotion with a small compliant quadruped robot , 2013, 2013 IEEE International Conference on Robotics and Automation.

[2]  Ricardo Carelli,et al.  Towards a New Modality-Independent Interface for a Robotic Wheelchair , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[3]  Tong Lin,et al.  Dynamic Sliding Mode Controller Based on Particle Swarm Optimization for Mobile Robot's Path Following , 2009, 2009 International Forum on Information Technology and Applications.

[4]  Yan Meng,et al.  A Hierarchical Gene Regulatory Network for Adaptive Multirobot Pattern Formation , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[5]  Vijay Kumar,et al.  A Framework and Architecture for Multirobot Coordination , 2000, International Symposium on Experimental Robotics.

[6]  Masayoshi Wada,et al.  A five-wheel wheelchair with an active-caster drive system , 2013, 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR).

[7]  Yaochu Jin,et al.  A cellular mechanism for multi-robot construction via evolutionary multi-objective optimization of a gene regulatory network , 2009, Biosyst..

[8]  Jui-Jen Chou,et al.  Motion control of the electric wheelchair powered by rim motors based on event-based cross-coupling control strategy , 2011, 2011 IEEE/SICE International Symposium on System Integration (SII).

[9]  Yong Wang,et al.  Hybrid map-based navigation for intelligent wheelchair , 2011, 2011 IEEE International Conference on Robotics and Automation.

[10]  Ömer Morgül,et al.  Approximate analytic solutions to non-symmetric stance trajectories of the passive Spring-Loaded Inverted Pendulum with damping , 2010 .

[11]  Franco Zambonelli,et al.  EXPERIMENTS OF MORPHOGENESIS IN SWARMS OF SIMPLE MOBILE ROBOTS , 2004, Appl. Artif. Intell..

[12]  Wen-Chang Cheng,et al.  The development of the automatic lane following navigation system for the intelligent robotic wheelchair , 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

[13]  Auke Jan Ijspeert,et al.  Towards dynamic trot gait locomotion: Design, control, and experiments with Cheetah-cub, a compliant quadruped robot , 2013, Int. J. Robotics Res..

[14]  Hiroyuki Ukida,et al.  Imaging of the turn space and path of movement of a wheelchair for remodeling houses of individuals with SCI , 2012, 2012 IEEE International Conference on Imaging Systems and Techniques Proceedings.

[15]  R. Blickhan,et al.  Spring-mass running: simple approximate solution and application to gait stability. , 2005, Journal of theoretical biology.

[16]  Vijay Kumar,et al.  Integrating Human Inputs with Autonomous Behaviors on an Intelligent Wheelchair Platform , 2007, IEEE Intelligent Systems.

[17]  M. N. Taib,et al.  Dynamic modeling and control of wheel-chaired elliptical stepping exercise , 2012, 2012 IEEE International Conference on Control System, Computing and Engineering.

[18]  Matthew D. Berkemeier Modeling the Dynamics of Quadrupedal Running , 1998, Int. J. Robotics Res..

[19]  Qinghua Liang,et al.  Quasi passive bounding of a quadruped model with articulated spine , 2012 .

[20]  Daniel E. Koditschek,et al.  Approximating the Stance Map of a 2-DOF Monoped Runner , 2000, J. Nonlinear Sci..

[21]  Reza Olfati-Saber,et al.  Flocking for multi-agent dynamic systems: algorithms and theory , 2006, IEEE Transactions on Automatic Control.

[22]  John Stewart,et al.  Increases in wheelchair use and perceptions of disablement , 2005 .

[23]  R J Full,et al.  Templates and anchors: neuromechanical hypotheses of legged locomotion on land. , 1999, The Journal of experimental biology.

[24]  M H Raibert,et al.  Trotting, pacing and bounding by a quadruped robot. , 1990, Journal of biomechanics.

[25]  Dong Jin Hyun,et al.  High speed trot-running: Implementation of a hierarchical controller using proprioceptive impedance control on the MIT Cheetah , 2014, Int. J. Robotics Res..

[26]  James P. Schmiedeler,et al.  The effect of asymmetrical body-mass distribution on the stability and dynamics of quadruped bounding , 2006, IEEE Transactions on Robotics.

[27]  Chee Leong Teo,et al.  A Collaborative Wheelchair System , 2008, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[28]  Manuel Mazo,et al.  An integral system for assisted mobility [automated wheelchair] , 2001, IEEE Robotics Autom. Mag..

[29]  Antonio M. Pascoal,et al.  Adaptive, non-singular path-following control of dynamic wheeled robots , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[30]  Yan Meng,et al.  Morphogenetic Robotics: An Emerging New Field in Developmental Robotics , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[31]  David S. Barrett,et al.  Dynamically Stable Legged Locomotion (September 1985-September 1989) , 1989 .

[32]  Oishee Mazumder,et al.  Multichannel fused EMG based biofeedback system with virtual reality for gait rehabilitation , 2012, 2012 4th International Conference on Intelligent Human Computer Interaction (IHCI).

[33]  Yulin Zhang,et al.  Dynamic model based robust tracking control of a differentially steered wheeled mobile robot , 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

[34]  Celso De La Cruz,et al.  Adaptive motion control law of a robotic wheelchair , 2011 .

[35]  Víctor H. Andaluz,et al.  Adaptive unified motion control of mobile manipulators , 2012 .

[36]  Blesson Varghese,et al.  A review and implementation of swarm pattern formation and transformation models , 2009, Int. J. Intell. Comput. Cybern..

[37]  M. Ani Hsieh,et al.  Decentralized controllers for shape generation with robotic swarms , 2008, Robotica.

[38]  Jianjun Yuan Stability analyses of wheelchair robot based on “Human-in-the-Loop” control theory , 2009, 2008 IEEE International Conference on Robotics and Biomimetics.

[39]  Domenico Prattichizzo,et al.  Discussion of paper by , 2003 .

[40]  Holger Voos,et al.  Collaborative nonlinear model-predictive collision avoidance and path following of mobile robots , 2009, 2009 ICCAS-SICE.

[41]  Karl Johan Åström,et al.  Adaptive Control , 1989, Embedded Digital Control with Microcontrollers.

[42]  Wanderley Cardoso Celeste,et al.  An adaptive dynamic controller for autonomous mobile robot trajectory tracking , 2008 .