Active simultaneous localization and map** (SLAM) is the problem of planning and
controlling the motion of a robot to build the most accurate and complete model of the …

Abstract Robot Motion Planning (RMP) has been a thrust area of research in computing due
to its complexity, since RMP in dynamic environments for a point robot with bounded velocity …

Planning algorithms are impacting technical disciplines and industries around the world,
including robotics, computer-aided design, manufacturing, computer graphics, aerospace …

Robotic path planning in static environments is a thoroughly studied problem that can
typically be solved very efficiently. However, planning in the presence of dynamic obstacles …

In this paper, an efficient real-time autonomous driving motion planner with trajectory
optimization is proposed. The planner first discretizes the plan space and searches for the …

Safe local motion planning for autonomous driving in dynamic environments requires
forecasting how the scene evolves. Practical autonomy stacks adopt a semantic object …

Determination of a collision free path for a robot between start and goal positions through
obstacles cluttered in a workspace is central to the design of an autonomous robot path …

In this paper we address the problem of motion planning for multiple robots. We introduce a
prioritized method, based on a powerful method for motion planning in dynamic …

It is at least two decades since the conventional robotic manipulators have become a
common manufacturing tool for different industries, from automotive to pharmaceutical. The …

We present an efficient, anytime method for path planning in dynamic environments. Current
approaches to planning in such domains either assume that the environment is static and …