The field of robotics is moving towards more advanced and efficient automation systems, with a focus on improving precision and reducing uncertainties in various environments. Recent developments have shown significant progress in designing control algorithms and architectures that can simulate human-like movements and adapt to different conditions. The integration of virtual reality and robotic systems has also enabled safer and more efficient workflows in high-risk laboratory settings. Additionally, the use of machine learning and human demonstrations has facilitated the learning of robust visuomotor policies for complex manipulation tasks. Overall, these advancements have the potential to greatly impact various fields, including manufacturing, chemistry, and biomedical research. Noteworthy papers include:

• Robotic System for Chemical Experiment Automation, which proposes a concept for automating experiments using dual demonstrations of robot motions and jig operations.
• GAMORA, a novel VR-guided robotic system for hazardous material handling, which achieved high precision and repeatability in lab tasks.