this paper describ visual percept system social robot the central part system artifici attent mechan discrimin most relev inform from all visual inform perceiv robot compos three stage preattent stage concept salienc implement base protoobject 37 from object differ salienc map generat then semiattent stage identifi track signific item accord task accomplish this track process allow implement inhibit return final attent stage fix field attent most relev object depend behaviour carri out three behaviour have been implement test which allow robot detect visual landmark initi unknown environ recogn captur upperbodi motion peopl interest interact

Juan Pedro Bandera

R. Marfil

Antonio Jesús Palomino

Ricardo Vázquez-Martín

Antonio Bandera

Visual Attention Mechanism for a Social Robot

learn imit repres use promis altern program robot the approach present here base two function element use human understand perform action these element bodi schema bodi percept the first one represent bodi contain inform bodi capabl the bodi percept snapshot bodi it relat environ given instant these element believ interact within human generat sever abil among them abil imit this paper present approach robot imit base two function element which approach imit identifi goal from perceiv action

Carlos A. Acosta Calderon

Rajesh E. Mohan

Task Learning Based on the Imitation of Object&#x2019;s Goal

this paper exploit optim posit mobil sensor improv target track perform wireless sensor network simultan local both static sensor node mobil sensor node when track human motion our approach mobil sensor collabor static sensor move optim achiev requir detect perform the accuraci final track result improv measur mobil sensor have higher signaltonois ratio after movement specif can simultan local mobil sensor static sensor posit when local human posit base augment extend kalman filter ekf algorithm develop sensor movement optim algorithm achiev nearoptim system track perform also present sensor node manag scheme order deduc comput complex when local static sensor node the effect our approach valid extens simul use simul

Sen Zhang

Wendong Xiao

Jun Gong

Yixin Yin

Mobile Sensing and Simultaneously Node Localization in Wireless Sensor Networks for Human Motion Tracking

upper bodi pose estim topic great studi comput vision societi becaus use great number applic main human robot interact includ communic companion robot howev challeng problem complex classic algorithm increas exponenti dimens vector state becom too difficult handl tackl problem propos new approach combin sever anneal particl filter defin independ each limb belief propag method add geometr constraint between individu filter experiment result real human gestur sequenc show combin approach lead reliabl result

Ilaria Renna

Ryad Chellali

Catherine Achard

Combination of Annealing Particle Filter and Belief Propagation for 3D Upper Body Tracking

manuscript autonom navig algorithm wheel mobil robot wmr oper dynam environ indoor structur outdoor formul the plan scheme critic import autonom navig task complex dynam environ fast dynam environ path plan need algorithm abl sens simultan divers obstacl use sensori inform improv realtim navig control while move toward desir goal destin the framework tackl 4 issu 1 reformul social forc model sfm adapt wmr 2 cohes general inerti scheme repres motion ani coordin system 3 control actuat rotat speed general model regardless kinemat restrict 4 assum detect featur obstacl goal adapt numer weight formul affect navig exponenti compon simul experiment outdoor result present show feasibl propos framework

Edgar A. Martínez-García

Rafael Torres-Cordoba

Exponential Fields Formulation for WMR Navigation

some wheelchair user have difficulti look backward when back confin space due limit neck rang motion low vision which can lead collis which may result person injuri properti damag the drive safe system dss evalu control laboratori set blindfold ablebodi individu various backward drive task perform dss compar standard white cane use navig assist peopl visual impair result indic dss signific reduc number collis compar use cane 00001 alon there differ task complet time when particip were use cane dss 0915 user rate dss favour experi less total workload 0026 less physic demand 0006 felt less frustrat 0002 put less effort 0007 achiev better perform when use dss compar use cane these find suggest dss can viabl power mobil solut wheelchair user visual impair

Vinod Sharma

Richard Simpson

Edmund LoPresti

Mark Schmeler

Driving Backwards Using a Semi-Autonomous Smart Wheelchair System (DSS): A Clinical Evaluation

novel gait plan method use geodes humanoid robot given paper both linear invert pendulum model exact singl support phase ssp studi our energi optim gait plan base geodes the kinet energi 2dimens linear invert pendulum obtain first regard kinet energi riemannian metric geodes metric studi shortest line between two point riemannian surfac this geodes optim kinet energi gait cog becaus kinet energi along geodes invari accord geometr properti geodes walk smooth energi save then walk singl support phase studi energi optim gait swing leg obtain use our geodes method final experi use stateoftheart method use our geodes optim method carri out respect correspond current joint motor record with current compar result feasibl new gait plan method verifi

Liandong Zhang

Changjiu Zhou

Smooth and Energy Saving Gait Planning for Humanoid Robot Using Geodesics

this paper propos fast colourbas object recognit local soccer robot the tradit hsl colour model modifi better colour segment edg detect colour code environ the object recognit base onli edg pixel speed comput the edg pixel detect intellig scan small part whole imag pixel which distribut over imag fast method line circl centr detect also discuss for object local 26 key point defin soccer field while two more key point can seen from robot camera view three rotat angl adjust achiev precis local robot other object key point detect robot posit estim accord histori robot movement feedback from motor sensor the experi nao roboerectus teensiz humanoid robot show propos vision system robust accur under differ light condit can effect precis locat robot other object

Tianwu Yang

Mohan Rajesh

A Fast Vision System for Soccer Robot

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Applied Bionics and Biomechanics publishes original research articles as well as review articles that seek to understand the mechanics of biological systems, or that use the functions of living organisms as inspiration for the design of new devices.

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Chief Editor, Professor Qiguo Rong, is the Vice Chair of the Department of Mechanics and Engineering Science at Peking University, China. His research focuses on the biomechanical behaviors of musculoskeletal systems.

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Applied Bionics and Biomechanics

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