Abstract: Path planning is a core technology for mobile robots to achieve autonomous navigation and obstacle avoidance. To address the shortcomings of traditional path planning algorithms in terms of ...

These weights are descriptive of Harris Teeter's revealed preferences, not prescriptive for all retailers. The framework supports weight personalisation for any facility type. Market Potential: 44.5% ...

Abstract: An influential result by Dor, Halperin, and Zwick (FOCS 1996, SICOMP 2000) implies an algorithm that can compute approximate shortest paths for all vertex ...

Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that compute shortest paths through vast networks. Now imagine scaling that task ...