Spatiotemporal Movement Planning and Rapid Adaptation for Manual Interaction

PLoS ONE

Volumn 8, Issue 5, 2013, Pages

  Huber, Markus ^a   Kupferberg, Aleksandra ^a   Lenz, Claus ^b   Knoll, Alois ^b   Brandt, Thomas ^a   Glasauer, Stefan ^a  

^a UNIVERSITY OF MUNICH   (Germany)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTATION; ADULT; ARTICLE; BAYES THEOREM; COMPUTER SIMULATION; CONTROLLED STUDY; DECISION MAKING; HAND MOVEMENT; HANDOVER POSITION; HANDOVER TASK; HUMAN; HUMAN EXPERIMENT; KINEMATICS; MAN MACHINE INTERACTION; MANUAL INTERACTION; MOTOR COORDINATION; MOVEMENT (PHYSIOLOGY); MOVEMENT TRAJECTORY; MUSCULOSKELETAL FUNCTION; NORMAL HUMAN; ONLINE SYSTEM; PREDICTIVE VALUE; PROBABILITY; PROCESS OPTIMIZATION; REACTION TIME; RELIABILITY; ROBOTICS; SOCIAL BEHAVIOR; SPATIOTEMPORAL MOVEMENT; STATISTICAL MODEL; TASK PERFORMANCE; VALIDATION PROCESS; VELOCITY;

ADAPTATION, PHYSIOLOGICAL; ADULT; COMPUTER SIMULATION; HUMANS; INTERPERSONAL RELATIONS; MODELS, THEORETICAL; MOVEMENT; PROBABILITY; REACTION TIME; REPRODUCIBILITY OF RESULTS; ROBOTICS; SPATIO-TEMPORAL ANALYSIS; TASK PERFORMANCE AND ANALYSIS; YOUNG ADULT;

EID: 84878379824     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0064982     Document Type: Article

References (57)

1. Knoblich G, Jordan JS, (2003) Action coordination in groups and individuals: learning anticipatory control. J Exp Psychol Learn Mem Cogn 29: 1006-1016.
2. Sebanz N, Bekkering H, Knoblich G, (2006) Joint action: bodies and minds moving together. Trends in Cogn Sci 10: 70-76.
3. Ray M, Welsh TM (2011) Response selection during a joint action task. J Mot Behav, 43, 329-332.
4. Georgopoulos AP, (1986) On Reaching. Annu Rev Neurosci 9: 147-170.
5. Shadmehr R, Wise SP (2005) The computational neurobiology of reaching and pointing: a foundation for motor learning. Cambridge: MIT press.
6. Vesper C, Stork S, Schuboe A (2008) Movement Times in Inter-and Intrapersonal Human Coordination. Proceedings of the 2008 ECSIS Symposium on Learning and Adaptive Behaviors for Robotic Systems. pp. 17-22.
7. Georgiou I, Becchio C, Glover S, Castiello U, (2007) Different action patterns for cooperative and competitive behaviour. Cognition 102: 415-433.
8. Meulenbroek RGJ, Bosga J, Hulstijn M, Miedl S, (2007) Joint-action coordination in transferring objects. Exp Brain Res 180: 333-343.
9. Kajikawa S, Okino T, Ohba K, Inooka H (1995) Motion planning for hand-over between human and robot. Proceedings of the 1995 IEEE Int Conf on Intelligent Robots and Systems 95 Human Robot Interaction and Cooperative Robots. pp. 193-199.
10. Kim I, Inooka H (1992) Hand-over of an object between human and robot. Proceedings of the IEEE International Workshop on Robot and Human Communication. pp. 199-203.
11. Huber M, Rickert M, Knoll A, Brandt T, Glasauer S (2008) Human-Robot Interaction in Handing-Over Tasks. Proc 17th IEEE Int Symp on Robot and Human Interactive Communication. pp. 107-112.
12. Basili P, Huber M, Brandt T, Hirche S, Glasauer S (2009) Investigating Human-Human Approach and Hand-Over. In: Ritter H, Sagerer G, Dillmann R, Buss M, editors. Human Centered Robot Systems: Cognition, Interaction, Technology. Berlin-Heidelberg: Springer-Verlag. pp. 151-160.
13. Huber M, Knoll A, Brandt T, Glasauer S, (2009) Handing over a cube: spatial features of physical joint-action. Ann N Y Acad Sci 1164: 380-382.
14. Körding KP, Wolpert DM, (2004) Bayesian integration in sensorimotor learning. Nature 427: 244-247.
15. Petzschner FH, Glasauer S, (2011) Iterative Bayesian estimation as an explanation for range and regression effects: a study on human path integration. J Neurosci 31: 17220-17229.
16. Flash T, Hogan N, (1985) The coordination of arm movements: an experimentally confirmed mathematical model. J Neurosci 5: 1688-1703.
17. Craig JJ (2005) Introduction to Robotics: Mechanics and Control. Upper Saddle River, NJ: Pearson Prentice Hall.
18. Ernst MO, Bülthoff HH, (2004) Merging the senses into a robust percept. Trends Cogn Sci 8: 162-169.
19. Körding KP, Wolpert DM, (2006) Bayesian decision theory in sensorimotor control. Trends Cogn Sci 10: 319-326.
20. Herbort O, Koning A, van Uem J, Meulenbroek RGJ (2012) The end-state comfort effect facilitates joint action. Acta Psychol 139, 404-416.
21. Rickert M, Foster ME, Giuliani M, By T, Panin G, et al. (2007) Integrating Language, Vision and Action for Human Robot Dialog Systems. Proceedings of HCI International 2007. pp. 987-995.
22. Lenz C (2011) Context-aware human-robot collaboration as a basis for future cognitive factories. Dissertation, Technische Universität München, München.
23. Chapman CS, Goodale MA, (2010) Obstacle avoidance during online corrections. J Vis 10: 1-14.
24. Körding KP, Beierholm U, Ma WJ, Quartz S, Tenenbaum JB, et al. (2007) Causal inference in multisensory perception. PLoS One 2: e943.
25. Bishop CM (2006) Pattern recognition and machine learning. New York: Springer.
26. Knill D, (2003) Mixture models and the probabilistic structure of depth cues. Vision Res 43: 831-854.
27. Gold JI, Shadlen MN, (2007) The neural basis of decision making. Annu Rev Neurosci 30: 535-574.
28. Berniker M, Voss M, Körding KP, (2010) Learning Priors for Bayesian Computations in the Nervous System. PLoS One 5: e12686.
29. Verstynen T, Sabes PN, (2011) How Each Movement Changes the Next: An Experimental and Theoretical Study of Fast Adaptive Priors in Reaching. J Neurosci 31: 10050-10059.
30. Galantucci B, Sebanz N, (2009) Joint action: Current perspectives. Top Cogn Sci 1: 255-259.
31. Faisal AA, Wolpert DM, (2009) Near optimal combination of sensory and motor uncertainty in time during a naturalistic perception-action task. J Neurophysiol 101: 1901-1912.
32. Sebanz N, Knoblich G, (2009) Prediction in Joint Action: What, When, and Where. Topics in Cognitive Science 1: 353-367.
33. Kilner JM, Vargas C, Duval S, Blakemore SJ, Sirigu A, (2004) Motor activation prior to observation of a predicted movement. Nat Neurosci 7: 1299-1301.
34. Flanagan JR, Johansson RS, (2003) Action plans used in action observation. Nature 424: 769-771.
35. Sebanz N, Shiffrar M, (2009) Detecting deception in a bluffing body: the role of expertise. Psychon Bull Rev 16: 170-175.
36. Aglioti SM, Cesari P, Romani M, Urgesi C, (2008) Action anticipation and motor resonance in elite basketball players. Nat Neurosci 11: 1109-1116.
37. Frith CD, Frith U, (2006) How we predict what other people are going to do. Brain Res 1079: 36-46.
38. Wolpert DM, Doya K, Kawato M, (2003) A unifying computational framework for motor control and social interaction. Philos Trans R Soc Lond B Biol Sci 358: 593-602.
39. Friston K, Mattout J, Kilner J, (2011) Action understanding and active inference. Biol Cybern 104: 137-160.
40. Cuijpers RH, van Schie HT, Koppen M, Erlhagen W, Bekkering H, (2006) Goals and means in action observation: A computational approach. Neural Networks 19: 311-322.
41. Ernst MO, DiLuca M (2011) Multisensory perception: from integration to remapping. In: Sensory cue integration (Trommershauser J, Körding KP, Landy MS, eds). Oxford University Press, Oxford, pp. 224-250.
42. Tassinari H, Hudson TE, Landy MS, (2006) Combining priors and noisy visual cues in a rapid pointing task. J Neurosci 26: 10154-10163.
43. Corneil BD, Van Wanrooij M, Munoz DP, Van Opstal AJ, (2002) Auditory-visual interactions subserving goal-directed saccades in a complex scene. J Neurophysiol 88: 438-454.
44. Shams L, Beierholm UR, (2010) Causal inference in perception. Trends Cogn Sci 14: 425-432.
45. Wolpert DM, Kawato M, (1998) Multiple paired forward and inverse models for motor control. Neural Netw 11: 1317-1329.
46. Van Wanrooij MM, Bremen P, Van Opstal AJ, (2010) Acquired prior knowledge modulates audiovisual integration. Eur J Neurosci 31: 1763-1771.
47. Chapman CS, Gallivan PJ, Wood DK, Milne JL, Culham JC, et al. (2010) Reaching for the unknown: Multiple target encoding and real-time decision-making in a rapid reach task. Cognition 116: 168-176.
48. Bogacz R, (2007) Optimal decision-making theories: linking neurobiology with behaviour. Trends Cogn Sci 11: 118-125.
49. Chaminade T, Franklin D, Oztop E, Cheng G (2005) Motor interference between humans and humanoid robots: Effect of biological and artificial motion. IEEE International Conference on Debelopment and Learning. pp. 96-101.
50. Oztop E, Franklin DW, Chaminade T, Cheng G, (2005) Human-humanoid interaction: is a humanoid robot perceived as a human? Int J Hum Robot 2: 537-559.
51. Bouquet C, Gaurier V, Shipley T, Toussaint L, Blandin Y, (2007) Influence of the perception of biological or non-biological motion on movement execution. J Sports Sci 25: 519-530.
52. Kilner JM, Hamilton AF, Blakemore SJ, (2007) Interference effect of observed human movement on action is due to velocity profile of biological motion. Soc Neurosci 2: 158-166.
53. Kupferberg A, Huber M, Helfer B, Lenz C, Knoll A, et al. (2012) Moving Just Like You: Motor Interference Depends on Similar Motility of Agent and Observer. PLoS One 7: e39637.
54. Gallese V, Goldman A, (1998) Mirror neurons and the simulation theory of mind-reading. Trends Cogn Sci 2: 493-501.
55. Gordon R, (1986) Folk psychology as simulation. Mind Lang 1: 158-171.
56. Meltzoff AN, (1995) Understanding the Intentions of Others. Re-enactment of Intended Acts by 18-Month-Old Children. Dev Psychol 31: 838-850.
57. Krach S, Hegel F, Wrede B, Sagerer G, Binkofski F, et al. (2008) Can Machines Think? Interaction and Perspective Taking with Robots Investigated via fMRI. PLoS One 3: e2597.