The field of aerospace and robotics is witnessing significant advancements in electrification and autonomous systems. Researchers are exploring innovative solutions to achieve net-zero emissions in transportation, with a focus on all-electric aircraft and power-efficient locomotion controllers for legged robots. The development of reliable and resilient electric power systems is crucial for wide-body all-electric aircraft, while advancements in reinforcement learning-based control approaches are enabling energy-efficient control of legged robots in various gravity environments. Furthermore, novel robotic designs such as multi-modal robots with power-reuse mechanisms are being developed for seamless integration of aerial flight, ground driving, and wall climbing. Noteworthy papers in this area include: PerchMobi^3, which demonstrates a quad-fan, negative-pressure, air-ground-wall robot with a propulsion-adhesion power-reuse mechanism, and Efficient Learning-Based Control of a Legged Robot in Lunar Gravity, which introduces a reinforcement learning-based control approach for legged robots with gravity-scaled power-optimized reward functions.