Adaptation to unorganized, congested and uncertain environment is a desirable capability but challenging task in development of robotic motion planning algorithms for object grasping. We have to make a tradeoff between coping with the environmental complexities using computational expensive approaches, and enforcing practical manipulation and grasping in real-time. In this paper, we present a brief overview and research objectives towards real-time motion planning for grasping in cluttered and uncertain environments. We present feasible ways in approaching this goal, in which key challenges and plausible solutions are discussed.
|Title of host publication||Towards Autonomous Robotic Systems|
|Subtitle of host publication||19th Towards Autonomous Robotic Systems TAROS 2018 Conference|
|Publication status||Accepted/In press - Jul 2018|
|Event||19th Towards Autonomous Robotic Systems (TAROS) Conference - University of the West of England, Bristol, United Kingdom|
Duration: 25 Jul 2018 → 27 Jul 2018
Conference number: 19
|Conference||19th Towards Autonomous Robotic Systems (TAROS) Conference|
|Abbreviated title||TAROS 2018|
|Period||25/07/18 → 27/07/18|
Liu, P., Elgeneidy, K., Pearson, S., Huda, M. N., & Neumann, G. (Accepted/In press). Towards real-time robotic motion planning for grasping in cluttered and uncertain environments. In Towards Autonomous Robotic Systems: 19th Towards Autonomous Robotic Systems TAROS 2018 Conference (pp. (in press)). Springer.