Brain-inspired Robotics
Zheyu Yang, Taoyi Wang, Yihan Lin, Yuguo Chen, Hui Zeng, Jing Pei, Jiazheng Wang, Xue Liu, Yichun Zhou, Jianqiang Zhang, Xin Wang, Xinhao Lv, Rong Zhao & Luping Shi. A vision chip with complementary pathways for open-world sensing. Nature 629, 1027–1033 (2024). https://doi.org/10.1038/s41586-024-07358-4
Abstract
“Image sensors face substantial challenges when dealing with dynamic, diverse and unpredictable scenes in open-world applications. However, the development of image sensors towards high speed, high resolution, large dynamic range and high precision is limited by power and bandwidth. Here we present a complementary sensing paradigm inspired by the human visual system that involves parsing visual information into primitive-based representations and assembling these primitives to form two complementary vision pathways: a cognition-oriented pathway for accurate cognition and an action-oriented pathway for rapid response. To realize this paradigm, a vision chip called Tianmouc is developed, incorporating a hybrid pixel array and a parallel-and-heterogeneous readout architecture. Leveraging the characteristics of the complementary vision pathway, Tianmouc achieves high-speed sensing of up to 10,000 fps, a dynamic range of 130 dB and an advanced figure of merit in terms of spatial resolution, speed and dynamic range. Furthermore, it adaptively reduces bandwidth by 90%. We demonstrate the integration of a Tianmouc chip into an autonomous driving system, showcasing its abilities to enable accurate, fast and robust perception, even in challenging corner cases on open roads. The primitive-based complementary sensing paradigm helps in overcoming fundamental limitations in developing vision systems for diverse open-world applications.”
Zheyu Yang, Taoyi Wang, Yihan Lin, Yuguo Chen, Hui Zeng, Jing Pei, Jiazheng Wang, Xue Liu, Yichun Zhou, Jianqiang Zhang, Xin Wang, Xinhao Lv, Rong Zhao & Luping Shi. A vision chip with complementary pathways for open-world sensing. Nature 629, 1027–1033 (2024). https://doi.org/10.1038/s41586-024-07358-4
Resources of Brain-inspired Robotics
Adaptation Analogue Computing Brain-inspired Computing Brain-inspired Sound Localization BrainScaleS-1 BrainScaleS OS Drone Exploration Lane Detection LaneSNNs Large-scale Localization Loihi Measurement Memristor Missions Neural Architectures Neuromorphic Neuromorphic Application Neuromorphic Computer Neuromorphic Computing Neuromorphic Control Neuromorphic Devices Neuromorphic Intelligence Neuromorphic Object Localization Neuromorphic Processor Neuromorphic Robotics Neuromorphic Sensing Neuromorphic Sound Localization Neuromorphic System Neuromorphic Vision Neurorobotics Neuroscience Operating System Opportunity Relative Localization Resistive Memories Resonator Networks Robotics Robots Robust Space Exploration Spiking Neural Networks Ultrasonic Transducers Visual Odometry