Learning reliable and efficient navigation with a humanoid

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2010, Pages 2375-2380

  Oßwald, Stefan ^a   Hornung, Armin ^a   Bennewitz, Maren ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

HUMANOID ROBOT; LOCALIZATION PERFORMANCE; NAVIGATION STRATEGIES; NAVIGATION TASKS; REINFORCEMENT LEARNING APPROACH;

ANTHROPOMORPHIC ROBOTS; NAVIGATION;

ROBOTICS;

EID: 77955806943     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2010.5509420     Document Type: Conference Paper

References (25)

1. Aldebaran Robotics, "The Nao humanoid robot," http://www.aldebaran-robotics.com/eng/Nao.php, 2009.
2. M. Wiering and J. Schmidhuber, "Fast online Q(λ)," Machine Learning, vol. 33, no. 1, pp. 105-115, October 1998.
3. F. Faber and S. Behnke, "Stochastic optimization of bipedal walking using gyro feedback and phase resetting," in Proc. of the IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids), 2007.
4. C. Niehaus, T. Röfer, and T. Laue, "Gait-optimization on a humanoid robot using particle swarm optimization," in 2nd Workshop on Humanoid Soccer Robots at the IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids), 2007.
5. T. Hemker, M. Stelzer, O. von Stryk, and H. Sakamoto, "Efficient walking speed optimization of a humanoid robot," Int. Journal of Robotics Research, vol. 28, no. 2, pp. 303-314, 2009.
6. Q. Huang, Z. Yu, W. Zhang, X. Duan, Y. Huang, and K. Li, "Generation of humanoid walking pattern based on human walking measurement," in Proc. of the IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids), 2008.
7. R. Chalodhorn, D. Grimes, K. Grochow, and R. Rao, "Learning to walk through imitation," in Proc. of the Int. Conf. on Artificial Intelligence (IJCAI), 2007.
8. A. Hornung, H. Strasdat, M. Bennewitz, and W. Burgard, "Learning efficient policies for vision-based navigation," in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2009.
9. T. Kollar and N. Roy, "Using reinforcement learning to improve exploration trajectories for error minimization," in Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2006.
10. V. A. Huynh and N. Roy, "icLQG: Combining local and global optimization for control in information space," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), 2009.
11. R. He, S. Prentice, and N. Roy, "Planning in information space for a quadrotor helicopter in a GPS-denied environments," in Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2008.
12. M. Bryson and S. Sukkarieh, "Active airborne localisation and exploration in unknown environments using inertial SLAM," IEEE Aerospace Conference, 2006.
13. H. Strasdat, C. Stachniss, and W. Burgard, "Which landmark is useful? Learning selection policies for navigation in unknown environments," in Proc. of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2009.
14. C. Kwok and D. Fox, "Reinforcement learning for sensing strategies," in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2004.
15. M. Bennewitz, C. Stachniss, W. Burgard, and S. Behnke, "Metric localization with scale-invariant visual features using a single perspective camera," in European Robotics Symposium 2006, ser. STAR Springer tracts in advanced robotics, H. Christiensen, Ed., vol. 22, 2006.
16. J. Seara and G. Schmidt, "Intelligent gaze control for vision-guided humanoid walking: methodological aspects," Robotics and Autonomous Systems, vol. 48, no. 4, pp. 231-248, 2004.
17. J. Ido, Y. Shimizu, Y. Matsumoto, and T. Ogasawara, "Indoor Navigation for a Humanoid Robot Using a View Sequence," The International Journal of Robotics Research, vol. 28, no. 2, pp. 315-325, 2009.
18. A. Pretto, E. Menegatti, M. Bennewitz, W. Burgard, and E. Pagello, "A visual odometry framework robust to motion blur," in Proc. of the IEEE International Conference on Robotics & Automation (ICRA), 2009.
19. M. Vukobratovic and B. Borovac, "Zero-moment point - thirty five years of its life," Int. Journal of Humanoid Robots, vol. 1, 2004.
20. S. J. Julier and J. K. Uhlmann, "A new extension of the Kalman filter to nonlinear systems," in International Symposium on Aerospace/Defense Sensing, Simulation and Controls, 1997, pp. 182-193.
21. H. Bay, T. Tuytelaars, and L. V. Gool, "SURF: Speeded-up robust features," Proc. of the ninth European Conf. on Computer Vision, 2006.
22. M. A. Fischler and R. C. Bolles, "Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography," Communications of the ACM, 1981.
23. N. Roy and S. Thrun, "Coastal navigation with mobile robots," in Advances in Neural Processing Systems 12 (NIPS), vol. 12, 1999.
24. K. Doya, "Reinforcement learning in continuous time and space," Neural Computation, vol. 12, no. 1, pp. 219-245, 2000.
25. A. R. Cassandra, L. P. Kaelbling, and J. A. Kurien, "Acting under uncertainty: Discrete bayesian models for mobile-robot navigation," in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 1996.