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Publications of Author

1. Gen Endo, Jun Morimoto, Takamitsu Matsubara, Jun Nakanishi, Gordon Cheng
   Learning CPG Sensory Feedback with Policy Gradient for Biped Locomotion for a Full-Body Humanoid. [Citation Graph (0, 0)][DBLP]
   AAAI, 2005, pp:1267-1273 [Conf]
   
2. Jun Morimoto, Kenji Doya
   Acquisition of Stand-up Behavior by a Real Robot using Hierarchical Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
   ICML, 2000, pp:623-630 [Conf]
   
3. Jun Morimoto, Kenji Doya
   Hierarchical Reinforcement Learning of Low-Dimensional Subgoals and High-Dimensional Trajectories. [Citation Graph (0, 0)][DBLP]
   ICONIP, 1998, pp:850-853 [Conf]
   
4. Christopher G. Atkeson, Jun Morimoto
   Nonparametric Representation of Policies and Value Functions: A Trajectory-Based Approach. [Citation Graph (0, 0)][DBLP]
   NIPS, 2002, pp:1611-1618 [Conf]
   
5. Jun Morimoto, Christopher G. Atkeson
   Minimax Differential Dynamic Programming: An Application to Robust Biped Walking. [Citation Graph (0, 0)][DBLP]
   NIPS, 2002, pp:1539-1546 [Conf]
   
6. Jun Morimoto, Kenji Doya
   Robust Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
   NIPS, 2000, pp:1061-1067 [Conf]
   
7. Jun Morimoto, Kenji Doya
   Robust Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 2005, v:17, n:2, pp:335-359 [Journal]
   
8. Jun Morimoto, Kenji Doya
   Reinforcement Learning State Estimator. [Citation Graph (0, 0)][DBLP]
   Neural Computation, 2007, v:19, n:3, pp:730-756 [Journal]
   
9. Hiroyuki Miyamoto, Jun Morimoto, Kenji Doya, Mitsuo Kawato
   Reinforcement learning with via-point representation. [Citation Graph (0, 0)][DBLP]
   Neural Networks, 2004, v:17, n:3, pp:299-305 [Journal]
   
10. Jun Nakanishi, Jun Morimoto, Gen Endo, Gordon Cheng, Stefan Schaal, Mitsuo Kawato
    Learning from demonstration and adaptation of biped locomotion. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2004, v:47, n:2-3, pp:79-91 [Journal]
    
11. Jun Morimoto, Kenji Doya
    Acquisition of stand-up behavior by a real robot using hierarchical reinforcement learning. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2001, v:36, n:1, pp:37-51 [Journal]
    
12. Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya
    Learning CPG-based biped locomotion with a policy gradient method. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 2006, v:54, n:11, pp:911-920 [Journal]
    
13. Masanori Usui, Takahide Sugiyama, Masayasu Ishiko, Jun Morimoto, Hirokazu Saitoh, Masaki Ajioka
    Characterization of Trench MOS Gate Structures Utilizing Photon Emission Microscopy. [Citation Graph (0, 0)][DBLP]
    Microelectronics Reliability, 2002, v:42, n:9-11, pp:1647-1652 [Journal]
    
14. Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Sang-Ho Hyon, Joshua G. Hale, Gordon Cheng
    Learning to acquire whole-body humanoid CoM movements to achieve dynamic tasks. [Citation Graph (0, 0)][DBLP]
    ICRA, 2007, pp:2688-2693 [Conf]
    
15. Jun Morimoto, Gordon Cheng, Christopher G. Atkeson, Garth Zeglin
    A Simple Reinforcement Learning Algorithm for Biped Walking. [Citation Graph (0, 0)][DBLP]
    ICRA, 2004, pp:3030-3035 [Conf]
    
16. Gen Endo, Jun Morimoto, Jun Nakanishi, Gordon Cheng
    An Empirical Exploration of a Neural Oscillator for Biped Locomotion Control. [Citation Graph (0, 0)][DBLP]
    ICRA, 2004, pp:3036-3042 [Conf]
    
17. Gen Endo, Jun Nakanishi, Jun Morimoto, Gordon Cheng
    Experimental Studies of a Neural Oscillator for Biped Locomotion with QRIO. [Citation Graph (0, 0)][DBLP]
    ICRA, 2005, pp:596-602 [Conf]
    
18. Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya
    Learning Sensory Feedback to CPG with Policy Gradient for Biped Locomotion. [Citation Graph (0, 0)][DBLP]
    ICRA, 2005, pp:4164-4169 [Conf]
    
19. Jun Morimoto, Jun Nakanishi, Gen Endo, Gordon Cheng, Christopher G. Atkeson, Garth Zeglin
    Poincaré-Map-Based Reinforcement Learning For Biped Walking. [Citation Graph (0, 0)][DBLP]
    ICRA, 2005, pp:2381-2386 [Conf]
    
20. Gordon Cheng, Sang-Ho Hyon, Jun Morimoto, Ales Ude, Joshua G. Hale, Glenn Colvin, Wayco Scroggin, Stephen C. Jacobsen
    CB: a humanoid research platform for exploring neuroscience. [Citation Graph (0, 0)][DBLP]
    Advanced Robotics, 2007, v:21, n:10, pp:1097-1114 [Journal]
    
21. 
    Modulation of Simple Sinusoidal Patterns by a Coupled Oscillator Model for Biped Walking. [Citation Graph (, )][DBLP]
    
    
22. 
    Low-dimensional feature extraction for humanoid locomotion using kernel dimension reduction. [Citation Graph (, )][DBLP]
    
    
23. 
    CB: Exploring neuroscience with a humanoid research platform. [Citation Graph (, )][DBLP]
    
    
24. 
    Hierarchical motor learning and synthesis with passivity-based controller and phase oscillator. [Citation Graph (, )][DBLP]
    
    
25. 
    From compliant balancing to dynamic walking on humanoid robot: Integration of CNS and CPG. [Citation Graph (, )][DBLP]
    
    
26. 
    eMOSAIC Model for Humanoid Robot Control. [Citation Graph (, )][DBLP]
    
    
27. 
    Behavior recognition with ground reaction force estimation and its application to imitation learning. [Citation Graph (, )][DBLP]
    
    
28. 
    Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression. [Citation Graph (, )][DBLP]
    
    
29. 
    Learning to Acquire Whole-Body Humanoid Center of Mass Movements to Achieve Dynamic Tasks. [Citation Graph (, )][DBLP]
    
    
30. 
    Hierarchical reinforcement learning for motion learning: learning 'stand-up' trajectories. [Citation Graph (, )][DBLP]
    
    
31. 
    Nonparametric representation of an approximated Poincaré map for learning biped locomotion. [Citation Graph (, )][DBLP]