Z Littlefield, KE Bekris - Field and Service Robotics: Results of the 11th …, 2018 - Springer
Recent progress in sampling-based planning has provided performance guarantees in terms of optimizing trajectory cost even in the presence of significant dynamics. The …
SM Zadeh, DMW Powers, K Sammut - Robotics and Autonomous Systems, 2017 - Elsevier
Today AUVs operation still remains restricted to very particular tasks with low real autonomy due to battery restrictions. Efficient path planning and mission scheduling are principle …
The objective of this article is to present a method for developing collision risk indicators applicable for autonomous remotely operated vehicles (AROVs), which are essential for …
Despite the simplicity and intuitive interpretation of minimum mean squared error (MMSE) estimators, their effectiveness in certain scenarios is questionable. Indeed, minimizing …
Off-road autonomous unmanned ground vehicles (UGVs) are being developed for military and commercial use to deliver crucial supplies in remote locations, help with mapping and …
This paper develops a path planner that minimizes risk (eg motion execution) while maximizing accumulated reward (eg, quality of sensor viewpoint) motivated by visual …
We propose a method for controlling multiple active drifters in the presence of external forcing induced by the ocean. Our active drifters have one actuator: they can lower and raise …
IB Utne, I Schjølberg - International Conference on …, 2014 - asmedigitalcollection.asme.org
Climatic degradation of equipment, in combination with stringent requirements for human safety and minimalistic environmental impact, need to be addressed through improved risk …
We consider the motion-planning problem of planning a collision-free path of a robot in the presence of risk zones. The robot is allowed to travel in these zones but is penalized in a …