Sadjad Asghari-Esfeden

Papers

Total Citations

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About

Sadjad Asghari-Esfeden is a robotics researcher focused on advancing human-robot interaction, particularly in the critical domain of physical collaboration. His work centers on enabling robots to seamlessly coordinate with humans during tasks like object handovers, a fundamental challenge for assistive and collaborative robotics. Asghari-Esfeden’s major contributions include developing computational models that leverage the concept of submovements—a well-documented feature of human motion—to allow robots to predict human intent and plan coordinated trajectories. This work, detailed in his 2022 paper, directly addresses the need for robots to emulate human-like inference and anticipation. Complementing this, his 2023 research introduces a real-time, low-cost RGB camera-based system for efficient object localization during handovers, tackling the perception bottleneck in physical interaction. While early in his career, with his most-cited papers garnering 3 and 2 citations respectively, these foundational studies represent critical steps toward fluid, intuitive human-robot teamwork. His work is particularly notable for its practical, systems-level approach, combining motion prediction with real-time perception to create more responsive and capable robotic partners.