Topic · Control and Systems Engineering
Robot Manipulation and Learning
Robot Manipulation and Learning is a research topic within Control and Systems Engineering. Science Explorer counts 33k research works in it since 1956. 9.8% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on robotic grasping, learning from demonstration, deep learning for object pose estimation, human-robot collaboration, and sensor-based robot systems. It explores topics such as dynamical movement primitives, impedance control, and safe interaction between humans and robots.
- Robot Learning
- Grasping
- Deep Learning
- Human-Robot Collaboration
- Object Pose Estimation
- Dynamical Movement Primitives
- Impedance Control
- 3D Object Recognition
- Sensor-Based Robot Systems
- Safe Human-Robot Interaction
- Research works
- 33k fractional, since 1956
- In the world top 10%
- 3.2k per year above
- Top-10% rate
- 9.8% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +42% the tick is no change
- Largest producer
China
43% of the 10 largest, 2022-now
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