In this chapter, starting from machine intelligenceMachine intelligence and genetic algorithmGenetic algorithm (GA) (GA), our depiction expounds how to measure the intelligence of robots by using Turing testTuring test. Following this, our focus is on reinforcement learning, especially deep Q-learningDeep Q-learning and imitation learningImitation learning such as inverse reinforcement learningInverse reinforcement learning (IRL) for robotic perception and autonomous systems. The significance of this chapter is to measure the intelligence of robots and deliver the knowledge of how to train robots in operations to reach the level of human intelligence.

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Robotic Perception and Intelligence

  • Wei Qi Yan

摘要

In this chapter, starting from machine intelligenceMachine intelligence and genetic algorithmGenetic algorithm (GA) (GA), our depiction expounds how to measure the intelligence of robots by using Turing testTuring test. Following this, our focus is on reinforcement learning, especially deep Q-learningDeep Q-learning and imitation learningImitation learning such as inverse reinforcement learningInverse reinforcement learning (IRL) for robotic perception and autonomous systems. The significance of this chapter is to measure the intelligence of robots and deliver the knowledge of how to train robots in operations to reach the level of human intelligence.