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Found 4 papers, 1 papers with code
Intelligent machines work in unstructured environments by differential neuromorphic computing
By mimicking the intrinsic nature of human low-level perception mechanisms, the electronic memristive neuromorphic circuit-based method, presented here shows the potential for adapting to diverse sensing technologies and helping intelligent machines generate smart high-level decisions in the real world.
Towards Robust 3D Object Recognition with Dense-to-Sparse Deep Domain Adaptation
Three-dimensional (3D) object recognition is crucial for intelligent autonomous agents such as autonomous vehicles and robots alike to operate effectively in unstructured environments.
Real-time noise cancellation with Deep Learning
Biological measurements are often contaminated with large amounts of non-stationary noise which require effective noise reduction techniques.
Robotic Tactile Perception of Object Properties: A Review
Available tactile sensing technologies are briefly presented before an extensive review on tactile recognition of object properties.
