Kaleb Ben Naveed

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Kaleb Ben Naveed is pioneering energy-aware autonomy for persistent robotic information gathering, with a focus on ergodic search—a planning paradigm that balances exploration and exploitation by considering the spatial distribution of information. His 2024 work, "Eclares: Energy-Aware Clarity-Driven Ergodic Search" (6 citations), tackles the complex challenge of planning informative trajectories over long horizons while respecting a robot’s limited battery capacity, ensuring that coverage remains efficient even under energy constraints. Building on this, his 2025 paper "Adaptive ergodic search with energy-aware scheduling for persistent multi-robot missions" (3 citations) extends the framework to multi-robot teams, introducing a unified scheduler that adapts to evolving environments and coordinates robots for sustained, energy-efficient operation. Together, these contributions address two critical hurdles in long-term autonomy: planning under spatiotemporal dynamics and ensuring persistent operation without human intervention. By integrating energy constraints directly into the ergodic search formulation, Ben Naveed’s work enables robots to make intelligent trade-offs between information gain and power consumption, paving the way for truly autonomous, long-duration missions in applications like environmental monitoring and disaster response. His research is already shaping how we design resilient, self-sustaining robotic systems.