Abstract
The previous perception and control system of smart wheelchairs normally doesn’t distinguish different objects and treats all objects as obstacles. Consequently it is hard to realize the object related navigation tasks such as furniture docking or door passage with interference from the obstacle avoidance behavior. In this article, a local 3D semantic map is built online using a low-cost RGB-D camera, which provides the semantic and geometrical data of the recognized objects to the shared control modules for user intention estimation, target selection, motion control, as well as parameters adjusting of weight optimization for addressing different target. With the object information provided by 3D semantic map, our control system can choose different behaviors according to user intention to implement object related navigation. A smart wheelchair prototype equipped with a Kinect is developed and tested in real environment. The experiments showed that the 3D semantic map-based shared control can effectively enhance the smart wheelchair’s mobility, and improve the collaboration between the user and the smart wheelchair.
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References
Bourhis, G., Agostini, Y.: Man-machine cooperation for the control of an intelligent powered wheelchair. Journal of Intelligent & Robotic Systems 22(3), 269–287 (1998)
Lankenau, A., Rofer, T.: A versatile and safe mobility assistant. IEEE Robotics & Automation Magazine 8(1), 29–37 (2001)
Parikh, S.P., Grassi Jr., V., Kumar, V., et al.: Integrating human inputs with autonomous behaviors on an intelligent wheelchair platform. IEEE Intelligent Systems 22(2), 33–41 (2007)
Carlson, T., Demiris, Y.: Human-wheelchair collaboration through prediction of intention and adaptive assistance. In: IEEE International Conference on Robotics and Automation, Pasadena, CA (2008)
Demeester, E., Hüntemann, A., Vanhooydonck, D., et al.: User-adapted plan recognition and user-adapted shared control: A Bayesian approach to semi-autonomous wheelchair driving. Autonomous Robots 24(2), 193–211 (2008)
Poncela, A., Urdiales, C., Pérez, E.J., et al.: A new efficiency-weighted strategy for continuous human/robot cooperation in navigation. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans 39(3), 486–500 (2009)
Urdiales, C., Peula, J., Barrue, C., et al.: An adaptive scheme for wheelchair navigation collaborative control. In: Association for the Advancement of Artificial Intelligence. Fall Symposium, Washington (2008)
Li, Q., Chen, W., Wang, J.: Dynamic shared control for human-wheelchair cooperation. In: IEEE International Conference on Robotics and Automation, Shanghai, China (2011)
Bailey, M., Chanler, A., Maxwell, B., et al.: Development of Vision-Based Navigation for a Robotic Wheelchair. In: IEEE 10th International Conference on Rehabilitation Robotics, Noordwijk, Netherlands (2007)
Murarka, A., Kuipers, B.: A stereo vision based mapping algorithm for detecting inclines, drop-offs, and obstacles for safe local navigation. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, St. Louis, MO (2009)
Rusu, R.B., Marton, Z.C., Blodow, N., et al.: Towards 3D Point cloud based object maps for household environments. Robotics and Autonomous Systems 56(11), 927–941 (2008)
Schnabel, R., Wahl, R., Klein, R.: Efficient RANSAC for Point-Cloud Shape Detection. Computer Graphics Forum 26(2), 214–226 (2007)
Siegwart, R., Nourbakhsh, I.R.: Introduction to autonomous mobile robots. The MIT Press (2004)
Robot Operating System (ROS), http://www.ros.org/
Rusu, R.B., Cousins, S.: 3D is here: Point Cloud Library (PCL). In: IEEE International Conference on Robotics and Automation, Shanghai, China (2011)
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Wei, Z., Chen, W., Wang, J. (2012). 3D Semantic Map-Based Shared Control for Smart Wheelchair. In: Su, CY., Rakheja, S., Liu, H. (eds) Intelligent Robotics and Applications. ICIRA 2012. Lecture Notes in Computer Science(), vol 7507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33515-0_5
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