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Robots at Work at CES panel replay I recently had the privilege of moderating an insightful CES panel spotlighting real-world robotics use cases interacting with the public daily. Speakers from pioneering autonomous vehicle, surgical, and AI companies shared key perspectives on safely deploying robots while solving challenges facing consumers and businesses alike. The crucial theme underscoring discussions was earning vital public trust for robotics through rigorous failsafe protocols that prioritize safety. This ensures cutting-edge automation also thoughtfully serves societal needs versus prioritizing progress above ethics. Self-Driving Cars Must Prove Themselves Safe Before Widespread Adoption Laura Major, CTO of driverless ridesharing firm Motional, noted how robots replacing human drivers can prevent countless accidents. However, the vehicles must first demonstrate capability of handling roads without catastrophic failures. Motional undergoes extensive testing across billions of simulated miles to validate reliability before expanding pilots. “Our goal is improving overall road safety...we can prevent many fatalities happening daily with human drivers,” Major explained, citing flaws like distraction. “But safety is an important part of our development process too.” It underscored how pioneering autonomous technology must put safety first before reforming entrenched mobility norms. Surgical Robots Excel At Following Physician Instructions With Precision Quantum Surgical CEO Bertin Nahum then outlined surgical robots optimizing patient outcomes by flawlessly executing treatment plans. Whereas even talented surgeons endure occasional human limitations, robots never waver when performing repetitive procedures or precise incisions. “Robotics is going to help physicians perform exactly whichever plan was done,” Nahum said. “Once upon a time, no matter the accuracy in planning, whichever treatment had to be done [manually]." It highlighted robotics removing gaps between physician expertise and execution - improving care quality as robots enable new therapeutic capabilities. AI Simulation and Generative Models Set to Unlock Robotics Potential Finally, Gerard Andrews of Nvidia discussed leveraging AI to accelerate future robotics breakthroughs. Specifically, he cited using generative models like DALL-E to quickly create realistic 3D simulations for testing robot software, designs, and workflows rather than manual coding. “The intersection of generative AI and robotics will be absolutely transformational,” Andrews predicted, noting gains in development velocity. “Robotics engineers will have a ‘force multiplier’ with generative AI and their ability to run simulations.”
