Clocalpath

Clocalpath is a term used in robotics and computer science to describe a framework for computing locally optimal paths within a larger environment. It emphasizes planning based on local information and dynamic re-evaluation as conditions change, rather than computing a single global route upfront.

In clocalpath, the planner maintains a local map, continuously evaluating nearby obstacles, costs, and viability of small steps or segments. Solutions are typically smooth and curvature-constrained to suit mobile platforms, such as wheeled robots or drones.

Algorithms used under this concept include potential-field approaches, elastic-band methods, and optimization-based local planners that minimize a locally defined cost function subject to kinematic constraints. In some formulations, local planning is integrated with a higher-level global planner via a replanning loop.

Applications span autonomous navigation, robotic manipulation in constrained spaces, and network routing problems framed as dynamic graphs where path choices depend on current conditions. Clocalpath supports real-time responsiveness and safety envelopes through local clearance checks.

Limitations include possible myopia, local minima, and the need for frequent replanning in highly dynamic environments. It is commonly combined with global planners to balance local responsiveness with long-range efficiency.

See also local path planning, curvature-constrained motion planning, and optimization-based navigation.