Summary
The ability to follow specific and task-relevant paths is an essential feature for legged humanoid robots. In this paper, we describe a technique for programming walking paths for humanoid robots based on imitation. Demonstrated paths are synthesized as NURBS (Non Uniform Rational B-Spline), and can be adapted by the robot based on local and dynamic information. We report simple experiments performed with a Robosapien V2 low-cost humanoid toy which has been suitably enhanced to support imitation-based programming. We show that despite robot limitations rather complex navigational tasks can be achieved through visual guidance. The system combines inputs from multiple sensory devices, including a motion tracker and a monocular vision system for landmark recognition.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Behnke, S., Müller, J., Schreiber, M.: Playing soccer with robosapien. In: 9th RoboCup Int’l Symposium, Osaka, Japan (July 2005)
Billard, A.: Robota: Clever toy and educational tool. Robotics and Autonomous Systems 42(3-4), 259–269 (2003)
Breazeal, C., Scassellati, B.: Challenges in building robots that imitate people. In: Dautenhahn, K., Nehaniv, C. (eds.) Imitation in Animals and Artifacts, MIT Press, Cambridge (2001)
Chow, H.N., Xu, Y., Tso, S.K.: Learning human navigational skill for smart wheelchair. In: IROS. IEEE/RSJ Int’l Conference on Intelligent Robots and Systems (September 2002)
Dixon, K.R., Khosla, P.K.: Learning by Observation with Mobile Robots: A Computational Approach. In: ICRA. IEEE Int’l Conference on Robotics and Automation, New Orleans, LA (April 2004)
Hwang, J.H., Arkin, R.C., Kwon, D.S.: Mobile robots at your fingertip: Bezier curve on-line trajectory generation for supervisory control. In: IROS. IEEE/RSJ Int’l Conference on Intelligent Robots and Systems, Las Vegas, Nevada (October 2003)
Ikeuchi, K., Suehiro, T.: Toward an assembly plan from observation, Part I: Task recognition with polyhedral objects. IEEE Trans. Robot. Automat. 10(3), 368–385 (1994)
Mataric, M.J.: Getting humanoids to move and imitate. IEEE Intelligent Systems 15(4), 18–24 (2000)
Kagami, S., Nishiwaki, K., Kuffner, J.J., Okada, K., Inaba, M., Inoue, H.: Vision-Based 2.5D Terrain Modeling for Humanoid Locomotion. In: ICRA. IEEE Int’l Conference on Robotics and Automation, Taipei, Taiwan (September 2003)
Kato, H., Billinghurst, M.: Marker Tracking and HMD Calibration for a video-based Augmented Reality Conferencing System. In: IWAR. 2nd Int’l Workshop on Augmented Reality (October 1999)
Michel, P., Chestnutt, J., Kagami, S., Nishiwaki, K., Kuffner, J., Kanade, T.: Online Environment Reconstruction for Biped Navigation. In: ICRA. IEEE Int’l Conference on Robotics and Automation, Orlando, Florida (May 2006)
Michel, P., Chestnutt, J., Kuffner, J., Kanade, T.: Vision-Guided Humanoid Footstep Planning for Dynamic Environments. In: 5th IEEE-RAS Int’l Conference on Humanoid Robots (2005)
Morioka, K., Lee, J.-H., Hashimoto, H.: Human-Following Mobile Robot in a Distributed Intelligent Sensor Network. IEEE Trans. Ind. Electron. 51(1), 229–237 (2004)
Schaal, S.: Is imitation learning the route to humanoid robots? Trends in Cognitive Sciences 3(6), 233–242 (1999)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Aleotti, J., Caselli, S. (2007). Imitation of Walking Paths with a Low-Cost Humanoid Robot. In: Lee, S., Suh, I.H., Kim, M.S. (eds) Recent Progress in Robotics: Viable Robotic Service to Human. Lecture Notes in Control and Information Sciences, vol 370. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76729-9_29
Download citation
DOI: https://doi.org/10.1007/978-3-540-76729-9_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76728-2
Online ISBN: 978-3-540-76729-9
eBook Packages: EngineeringEngineering (R0)