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Cloning Human Capabilities into AI and Robotics: A Physician’s Blueprint Part 1: The Sensory-Motor…
- This article explores the parallels between the human body and technology, breaking down human functions into technological counterparts. Starting with Sensory-Motor Functions, topics like computer vision libraries and object detection API, GPT-4 Turbo, and Meta’s Llama 3.2 are discussed to explore how science and engineering are attempting to replicate systems-both hardware and software-through robotics and AI. Coming to tactile perception, Bionic SoftHand 2.0, Digit 360, and Meta Sparsh are discussed, while the sense of taste and smell is explored through neural network-based reflex controllers, deep reinforcement learning algorithms, and high-speed sensors.
- The article further explains how reflexive grasping systems and robotic grippers have reflexive capabilities that help in adapting grip to unexpected disturbances while integrating high-speed sensors with rapid-response actuators. Finally, the article concludes by highlighting the challenges of replicating human sensory perception into robotic systems, which are crucial in creating truly sentient machines in the future.
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