I’ve been exploring how AI-driven robotics could transform life-science research, especially in automating repetitive lab tasks, accelerating experiments, and reducing human error. Startups like Medra are already building robotic lab platforms that can handle complex workflows in biology, chemistry, and medicine. But there are some interesting challenges and debates emerging: Safety & Ethics: Robots handling delicate experiments could accidentally cause dangerous situations (e.g., fragile biological samples, unintended chemical reactions). Human Oversight: How much human supervision is required as labs become more autonomous? Skill Shifts: Will the next generation of life scientists need to be as much software engineers and roboticists as biologists? Innovation Speed: Could fully automated labs drastically reduce the time from discovery to application? I’m curious to hear from this community: Which areas of bio-science are most likely to benefit first from AI and robotics? Are there existing platforms or startups you find promising in this space? What do you see as the biggest technical or ethical hurdles for autonomous labs in the next 5–10 years? Looking forward to a discussion — I’m fascinated by how AI, robotics, and biology could converge to solve real-world problems.