1. Taipei T (2010) The 2010 IEEE/RSJ international conference on intelligent robots and systems. October 1822
2. Kun, Miller WT (1996) Adaptive dynamic balance of abipedrobotusing neural networks. In: IEEE conference on robotics and automation, pp 240–245
3. Zhang S, Wang C, Chan S-C, Wei X, Check HH (2015) IEEE Sens J 15(5)
4. Flikkema P (2014) Department of Electrical Engineering and Computer Science, Northern Arizona University Flagstaff, Arizona
5. Wu Y, Lim J, Yang M-H (2013) A benchmark. In: Proceedings of IEEE conference computer vision and pattern recognition: online object tracking, pp 2411–2418