Monthly Archives: January 2025

In a groundbreaking display of technological advancement, a bipedal robot recently underwent a series of rigorous field tests in the wild, tackling complex terrains in an open, uncontrolled environment without prior data or protection. This zero-shot test demonstrated the robot's ability to adapt dynamically to unfamiliar landscapes, highlighting the exceptional control and stability achieved through reinforcement learning (RL) training.

In recent years, interest in using drones for indoor applications has grown significantly. Traditionally, most drone applications have focused on outdoor environments such as forests, fields, and construction sites. However, advancements in indoor SLAM (Simultaneous Localization and Mapping) and 3D mapping have sparked interest in exploring the potential of drones for indoor operations.