###### Abstract
Robot motion planning involves designing feedback systems to regulate the robot's motion, and this ensures that it executes its planned actions intelligently and safely [9]. Perception in robotics refers to the ability of robots to sense and understand their environment using various sensors, such as cameras, LiDAR, millimeter-wave radars, and ultrasonic sensors. This includes tasks such as object detection, recognition, localization, and mapping (well known as SLAM--simultaneous localization and mapping) [10]. Autonomous navigation involves enabling robots to move and navigate complex and dynamic environments without human intervention. This includes developing algorithms for localization, path planning, obstacle avoidance, and decision making under uncertainty [11]. Currently, machine learning and AI techniques are growing very fast, and incredibly, they are integrated into robotics, which enables them to learn using data and allows them to adapt to dynamic environments. This includes reinforcement learning for robotic control, deep learning for perception tasks, and probabilistic modeling for decision making. Recently, the transformer-based generative model (GPT) has been recognized as a technical revolution and is expected to fill the long-existing gap between robots and artificial general intelligence (AGI) [12]. On the other hand, space robotics technology involves the development and deployment of robotic systems for exploration, maintenance, construction, and other tasks in space environments [13]. In space, robotic systems are utilized for the maintenance and servicing of spacecraft and satellites in orbit. These robots can perform tasks such as refueling, repairing, and upgrading satellites; extending their operational lifetimes; and reducing the need for costly replacements. Robotic arms equipped with various tools and instruments are essential for performing precise tasks in space, such as capturing payloads, deploying instruments, and conducting repairs. These arms are often mounted on spacecraft, landers, or rovers. Space robots also require advanced navigation and localization systems to accurately determine their position and orientation relative to celestial bodies, obstacles, and other spacecraft [14]. This involves integrating sensors, such as cameras, LiDAR, GPS, and inertial measurement units (IMUs). Space robotics technology plays a crucial role in advancing our understanding of the universe, enabling scientific exploration, supporting space missions, and laying the groundwork for future human exploration and settlement of space [15]. In summary, more novel research efforts have been emerging with more innovative topics, including humanoid robotics, bio-inspired design, collaborative robotics, and ethical considerations in robot deployment. Robotics will continue to drive advancements in automation, efficiency, safety, and human well-being, with ongoing efforts to address societal challenges and shape the future of technology. Even though it is impossible to cover all research areas of robotics and related applications, this Special Issue provides a humble collection of selected topics with cutting-edge research, and it hopes to show recent primary achievements from intuitive aspects. We would like to take this opportunity to thank all the contributing authors and reviewers of this Special Issue for their excellent research work and valuable time spent on providing comments for the collected papers. Finally, the unconditional and generous support from the editorial staff of _Applied Sciences_ is also a key to this high-quality Special Issue. **Conflicts of Interest:** The authors declare no conflict of interest. **List of Contributions:**