The field of robotics is moving towards more efficient and adaptive path planning and navigation techniques. Researchers are exploring new approaches to enable robots to operate effectively in dynamic environments, where obstacles and changes are common. One of the key directions is the development of reactive planning methods that can quickly respond to changes without requiring explicit plan reuse or strong prior assumptions about the environment. Another area of focus is the improvement of trajectory planning in cluttered environments, particularly in narrow passages, where safety and efficiency are crucial. Noteworthy papers in this area include: Revisiting Replanning from Scratch, which demonstrates the effectiveness of fast almost-surely asymptotically optimal planning algorithms in solving the incremental planning problem. Smooth path planning with safety margins using Piece-Wise Bezier curves, which proposes a computationally efficient approach for generating smooth and robust paths for mobile robots. Fast and Robust Point Containment Queries on Trimmed Surface, which introduces a fast and numerically stable method for performing containment queries on trimmed surfaces. Adaptive Trajectory Refinement for Optimization-based Local Planning in Narrow Passages, which presents an algorithm for refining trajectories to ensure safety and efficiency in narrow passages.