Abstract: Narrow passage scenarios pose significant challenges for path planning, especially for tasks requiring real-time performance. Traditional asymptotically converging sampling-based planners ...

Every programming language ever created carries the same burden: it must be readable by humans. This constraint forces trade-offs — verbose syntax, ambiguous grammar, limited type systems, and endless ...

AI Agents need to evolve — learning better prompts, accumulating memory, and generating new skills from experience. But self-evolution is inherently risky: evolved code can be malicious, evolved rules ...