Event
Deep Blue Embodied Intelligence Reviews Six Major Technical Routes in Embodied Intelligence
1 reports · 1 sources
Deep Blue Embodied Intelligence published an article that, along six main technical lines—modular planning, skill orchestration, imitation learning, reinforcement learning, VLA, and world models—and drawing on 12 highly cited review papers from the past decade, reviews the debate over routes in embodied intelligence. The article states that each of these routes answers the question "what should robots learn from," and that the classic problems have not disappeared; what has changed is that the technical units used to solve them are growing larger. The article also mentions two industry data points: general-purpose robots need 100 million hours of data to reach a 70%–80% basic success rate; over the past 18 months, more than 100 open-source embodied foundation models have appeared worldwide.
Report timeline
- DeepBlue Embodied Intelligence reviews six embodied AI approaches: modular planning, skill orchestration, imitation learning, reinforcement learning, VLA, and world models
DeepBlue Embodied Intelligence examines the debate over embodied intelligence approaches along six main technical lines: modular planning, skill orchestration, imitation learning, reinforcement learning, VLA, and world models, drawing on 12 highly cited surveys from the past decade. The article notes that each approach answers the question of what robots should learn from, that the classic problems have not disappeared, and that what has changed is that the technical units for solving them are growing larger. It also mentions an industry estimate that general-purpose robots would need 100 million hours of data to reach a 70%–80% baseline success rate, and that more than 100 open-source embodied foundation models appeared worldwide in the past 18 months.
深蓝AI · 微信公众号 ·
Related topics
Interest trend
- Current
- 3
- Peak
- 4Nov 4 01:00
- Past 24 hours
- –
The trend compares participants observed throughout the same period, so its range may be smaller than the current interest count. Move or tap to inspect each hour; use the arrow keys on a keyboard.