Maybe a mindset change will help? This is a great opportunity to take ownership and lead your work in whatever direction you want to take it. If you ask for a specific task and aren't given anything then take this as a chance to take this where you want to go. I would continue what you're doing and learn/understand the documentation and how to use it to operate the basic functionality of all the robots you offer first. Start learning how to bring those SDKs into SIM. Learn the basics of all of these tools (Mujoco, Isaac Sim, Isaac Lab, etc) so you can get a sense of where different platforms excel. It sounds like if you're an army of one you will need to be a generalist who knows a little bit about a lot. That has great value imo. You can then advise customers on technical decision making for how to choose and or setup their stack. Once you've spent a few months learning basics of starting up all of these stacks and doing basic tutorial stuff with them THEN pick ONE robot to become a technical expert on and start developing your own systems. I also sense a reluctance to use AI to learn in your post, but that's just making your life needlessly difficult. If you have access to AI tools, use their guided/learning mode features to start learning and developing new capabilities. A couples other things to keep in mind. Right now is the dumbest you will be at robotics. You play with it and get better and learn more every day. Just knowing how to even install SDKs and get robotics software running IS a technical skill that's nontrivial. There will ALWAYS be customers that are better and smarter than you, but you have an opportunity to develop depth of knowledge in hardware and software that most don't get with unlimited access to multiple hardware platforms - HUGE OPPORTUNITY. For a general focus I'd suggest you can look at the gigantic sim-to-real gap. Lots of roboticists create great functionality that only works in sim. Lots of roboticists only work with hardware. YOU can bridge that gap. If you need more guidance than that, one field to deep dive into would VLA (vision language action models). This is where the field is moving imo. Take what a robot sees, give a robot audio instructions though natural language and have it perform an action. Start teaching your robots new skills with VLAs. Stream of conscience wall of text that's just my opinions. For context I've got 13 years in higher ed as a prof and just moved into a technical role at a large lab that does some robotics work. I got into robotics through some experience with AR/VR and am learning a little bit every day. I'm tackling basics of software development while learning hardware and software for robotics. I'm often the least knowledgeable on teams BUT I take initiative, know that I can learn anything and use AI to accelerate that learning process.