A task doesn't need to be completed by a robot perfectly suited for that task. Instead, it can be completed by a team of robots with a mission, and an ability to learn. This notion could change the course of development in robotics - from lunar exploration to excavation.
By programming different teams of robots with different sensors access and different "libraries" of behavior patterns, ASU's Dr. Jekan Thanga is able to "evolve" the proper set of inputs and behaviors that make a team complete a complex job right. How might this apply to the future of clean energy? Tune into this week's podcast to find out.
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Interested in the Future of Humanity and the Ramifications of Emerging Tech? Sentient Potential Covers the Ethical Considerations and Future Projections at the Crossroads of Technology and Consciousness: