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About

Keyi Zhu is a robotics researcher whose work spans multi-robot coordination, agricultural automation, and control under logical specifications. Their major contributions lie in two primary areas: distributed formation control and robotic harvesting systems. In formation control, Zhu has tackled the challenge of coordinating networked mobile robots with unknown reference orientations and bearing-only measurements, advancing the theoretical foundations for multi-agent systems. Their 2023 paper on formation control has already garnered 27 citations, reflecting its impact on the field. In parallel, Zhu has made significant practical contributions to agricultural robotics, co-developing a dual-arm robotic apple harvesting system (2024, 27 citations) that addresses the pressing need for automation in fruit picking. This work integrates mechanical design, perception, and control to improve harvesting efficiency. Zhu has also explored path planning under temporal logic specifications in partially-known environments, introducing regret-based and security-aware reinforcement learning approaches that bridge formal methods and robotics. Their work on soft robot control and battery recycling simulation further demonstrates versatility. With a growing citation record and contributions spanning theory to field deployment, Zhu is establishing themselves as a researcher who advances both the science and application of intelligent robotic systems.