Aditi Partap

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About

Aditi Partap is a researcher at the intersection of robotics and real-time systems, whose work focuses on the critical challenge of on-device CPU scheduling for resource-constrained robot platforms. Her most-cited paper, "On-Device CPU Scheduling for Robot Systems" (2022, 6 citations), addresses the fundamental tension between the complex, multi-stage pipeline of sensing, perception, planning, and reaction tasks that robots must execute, and the limited computational resources available on embedded devices. Partap’s key contribution lies in developing scheduling strategies that ensure highly responsive real-time actions while meeting strict application performance requirements—a problem that becomes increasingly vital as robots move from controlled labs to dynamic, real-world environments. Her work is particularly notable for bridging the gap between theoretical scheduling guarantees and practical deployment on actual hardware, offering a principled approach to managing the competing demands of latency, throughput, and power consumption. Though early in her career, Partap’s research has already drawn attention from the robotics and real-time systems communities, positioning her as a rising voice in the effort to make autonomous systems both capable and predictable on the edge.