The proliferation of electronic waste (e-waste) exhibits a notable environmental challenge globally. Traditional techniques of managing e-waste have limitations to efficiently segregate, recycle, and recover valuable materials. In response, the development and integration of robotics to sustainably manage e-waste is critical to achieving a circular economy (CE). The technological advancements in robotics that have influenced e-waste management are presented in this chapter. For example, the application of robotics for recycling, segregating, and recovery of e-waste is demonstrated. Artificial intelligence (AI) and machine learning algorithms are the smart technologies that have enabled robots to acquire knowledge and adapt from disparate e-waste scenarios thus improving their efficiency and accuracy over time. The integration of AI algorithms in robotics has enabled the application of data analytics in waste management decision making. It is important to note that robotics processes do not only intensify the recovery of e-waste for recycling purposes but they also reduce human exposure to hazardous materials found in e-waste. They enable the implementation of open-loop and closed-loop recycling thus reducing the demand for virgin materials. The benefits of implementing robotics such as cost saving, sustainability, improved productivity, and compliance with regulations are discussed in this chapter. Additionally, robotics has significantly influenced industries by enhancing precision and efficiency, resulting in increased recovery rates. Lastly, the chapter presents information that is relevant to waste management companies, researchers, policymakers, waste managers, and engineers. The information presented gives a broader but precise description of what robotics can do with regard to e-waste management.