The field of robotics and space manipulation is moving towards more innovative and efficient solutions. Researchers are exploring new methods for trajectory optimization, such as leveraging Riemannian geometry and biological inspiration, to improve the performance of robotic systems. Additionally, there is a growing interest in understanding and utilizing dynamic coupling in free-floating space manipulator systems to enhance trajectory planning. Noteworthy papers include:

• A Comparative Study of Floating-Base Space Parameterizations for Agile Whole-Body Motion Planning, which introduces a novel formulation for representing the robot's floating-base pose.
• Two-Impulse Trajectory Design in Two-Body Systems With Riemannian Geometry, which presents a new method for generating impulsive trajectories by transforming the standard trajectory optimization problem into a purely geometric one.
• Adapting Biological Reflexes for Dynamic Reorientation in Space Manipulator Systems, which explores the potential of using biological inspiration to address the challenge of controlling space manipulator systems in microgravity.
• Discrete VHCs for Propeller Motion of a Devil-Stick using purely Impulsive Inputs, which introduces the concept of discrete virtual holonomic constraints to solve the orbital stabilization problem.
• Understanding and Utilizing Dynamic Coupling in Free-Floating Space Manipulators for On-Orbit Servicing, which proposes a dynamic coupling-informed trajectory optimization algorithm to improve trajectory planning.