The field of autonomous robot navigation and control is rapidly advancing, with a focus on developing innovative solutions for safe and efficient navigation in complex environments. Recent research has explored the use of runtime assurance safety monitors, load-bearing assessment frameworks, and real-time quadratic programming solvers to improve the reliability and performance of autonomous robots. Additionally, there has been a growing interest in the development of novel actuation systems, such as embroidery actuators and vine robots, which offer new possibilities for robot design and control. Noteworthy papers in this area include: The paper on Safety Monitor for Off-Road Planning with Uncertainty Bounded Bekker Costs, which presents a novel safety monitor that collaborates with any planner to ensure safe and predictable behavior in off-road autonomy. The paper on Load-bearing Assessment for Safe Locomotion of Quadruped Robots on Collapsing Terrain, which introduces a robust locomotion framework for safe navigation over unstable surfaces. The paper on Real-Time QP Solvers, which provides a comprehensive analysis and benchmarking study of cutting-edge QP solvers for legged robotics.