I love the ever prevalent pessimism/cautious optimism in the field of robotics (industry and academics alike). It's a fresh breath of air from the ever over-hyp

I love the ever prevalent pessimism/cautious optimism in the field of robotics (industry and academics alike). It's a fresh breath of air from the ever over-hyping ML/AI field. On a related note, an open problem I see in practicality is also: How do you manage an robotics company effectively? iRobot seems to be succeeding in this well, and so does some industrial robotics arm companies but the latter is more about industrial automation than the more general "robotics" company out there. Some companies that go very broad general solution seems to be struggling, the application based robotics seems also fail more often than succeed. There have emerged a lot of management methods and theories around software development (Agile etc), but what's the efficient management method for robotics? Having been working at a few robotics company as a junior, It have always been either: 1. Someone with extensive research/engineering experience in a subfield of robotics in management, that can't manage the other subfields 2. Some one with too general knowledge and can't balance between each robotics-subfields needs including production & reliability + cost. and both seems to do pretty bad, while the second one slightly favourable.