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MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles., , , , , , , and . CoRR, (2021)A Survey of FPGA-Based Robotic Computing., , , , , , , and . CoRR, (2020)Quantized Reinforcement Learning (QUARL)., , , , , and . CoRR, (2019)An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform., , , , , and . AICAS, page 1-4. IEEE, (2021)Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference., , , , , , , and . DAC, page 1-6. IEEE, (2020)FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems., , , , , , and . DATE, page 430-435. IEEE, (2022)SEE-MCAM: Scalable Multi-Bit FeFET Content Addressable Memories for Energy Efficient Associative Search., , , , , , , , , and . ICCAD, page 1-9. IEEE, (2023)Improving compute in-memory ECC reliability with successive correction., , , , , , , and . DAC, page 745-750. ACM, (2022)MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous Systems., , , , , , and . ASPLOS (2), page 746-762. ACM, (2024)The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines., , , , , , , and . IEEE Comput. Archit. Lett., 19 (1): 38-42 (2020)