Ingredients and a Framework of Dexterous Manipulation Skills for Robots in Human Centered Environment and HRI

Presence and importance of robots in human centered environment have grown significantly in recent years. For example, there are various ongoing as well as successfully completed projects, where the robots are expected to have different roles, such as cooperative partner [11], co-worker [12], companion and health care assistant [13], with dexterous manipulation capabilities to be well fitting in everyday human environment [10], to perform human-level manipulation tasks [5], etc. One of the common requirements of all such robots is to perform tasks in the human shared workspace. This is where the notion of dexterous manipulation becomes more prominent, because most of the times: (i) objects are designed to be used by human, hence the robot needs human like grasping and carrying capabilities, (ii) such tasks require manipulation of objects for the human partner or in human presence, therefore the robot needs to reason from the human perspective. In Ref. [7], an overview and the requirements of dexterous manipulation have been presented in an objectcentered manner. Therefore, the presented control architecture mainly focuses on grasp. In Ref. [3], a handcentric dexterous manipulation taxonomy has been presented, which can be used to identify a manipulation strategy for executing a certain task. However, with the significant elevation of interest in the domain of humanrobot interaction and socially intelligent robots, now

[1]  Larry H. Matthies,et al.  Model-based autonomous system for performing dexterous, human-level manipulation tasks , 2014, Auton. Robots.

[2]  U. Castiello,et al.  How Objects Are Grasped: The Interplay between Affordances and End-Goals , 2011, PloS one.

[3]  Loukia D. Loukopoulos,et al.  Planning reaches by evaluating stored postures. , 1995, Psychological review.

[4]  Amit Kumar Pandey,et al.  Towards planning Human-Robot Interactive manipulation tasks: Task dependent and human oriented autonomous selection of grasp and placement , 2012, 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob).

[5]  Allison M. Okamura,et al.  An overview of dexterous manipulation , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[6]  Daniel Sidobre,et al.  Efficient models for grasp planning with a multi-fingered hand , 2012, Robotics Auton. Syst..

[7]  B. Siciliano DEXMART - DEXterous and autonomous dual-arm/hand robotic manipulation with sMART sensory-motor skills: A bridge from natural to artificial cognition , 2008 .

[8]  R. Alami,et al.  Mightability maps: A perceptual level decisional framework for co-operative and competitive human-robot interaction , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[9]  M. Gharbi,et al.  A sampling-based path planner for dual-arm manipulation , 2008, 2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[10]  M. Santello,et al.  Effects of end-goal on hand shaping. , 2006, Journal of neurophysiology.

[11]  D. Rosenbaum,et al.  Planning for manual positioning: the end-state comfort effect for manual abduction–adduction , 2007, Experimental Brain Research.

[12]  Khoi Nguyen,et al.  From motion planning to trajectory control with bounded jerk for service manipulator robots , 2010, 2010 IEEE International Conference on Robotics and Automation.

[13]  Aaron M. Dollar,et al.  A Hand-Centric Classification of Human and Robot Dexterous Manipulation , 2013, IEEE Transactions on Haptics.

[14]  D. Rosenbaum,et al.  Posture-based motion planning: applications to grasping. , 2001, Psychological review.

[15]  Ruud G. J. Meulenbroek,et al.  Planning Reaches by Evaluating Stored Postures. , 1995 .

[16]  Rachid Alami,et al.  Planning human-aware motions using a sampling-based costmap planner , 2011, 2011 IEEE International Conference on Robotics and Automation.