The discussion revolves around the challenges of building robots that can adapt to changing environments, rather than robots that rely solely on prediction and mapping.
This podcast explores the different examples of things that people call robots and their level of agency, such as the ability to interact with the environment, converse with other agents, take responsibility, make decisions, and make plans. Real-world examples of robots include Roomba vacuum cleaners and self-driving cars.
The development of a humanoid robot is a daunting task that will take a significant amount of time and effort. Despite Tesla's interest in the project, it may take a while before they can produce robots with the smoothness of movement of Boston Dynamics' robots.
Boston Dynamics’ robot moving at five miles an hour isn't as outlandish as some critics suggest, as cars on the road moving at 75-85 miles an hour are processing data, doing machine learning and figuring out the car's trajectory in real-time, making the robot’s task easier. Special-purpose automation is a cheaper and more elegant solution to solve customer's problems, given the leveraging of core IP at Boston Dynamics can provide a great set of applications to existing product lines and customers they serve for businesses in special purpose automation, which Hyundai is now part of, following its acquisition of Boston Dynamics from SoftBank.
This episode discusses the dilemma of designing robots that are both functional and aesthetically pleasing, without crossing the "uncanny valley" and potentially causing discomfort in humans. Real-world implications such as the cost-benefit analysis of using humanoid robots in workplace settings are also explored.
The emergence of robots that can mimic human behavior and characteristics raises the question: when does a robot become human? Physicist Michio Kaku argues that if a robot acts and looks like a human, it should be considered a human.
The ability for robots to perceive humans, including anticipating human behavior, is a crucial aspect of their development and application. Understanding how humans move and interact in various environments allows for better localization and intention recognition.
The ability to program robots to do a variety of things previously reserved for human labor is interesting, even though it raises concerns about job displacement. However, it is still a growing industry that has resulted in businesses avoiding it despite its potential.
