Practical Robotics via Contrastive Learning
E. Dubois, J. Tremblay, A. Smith, H. Kim, J. Tremblay, D. Nguyen
11
2023-01-22
agentsmultimodalprivacyvision
Abstract
This paper proposes a method that improves quality, reliability, and efficiency for modern AI systems. We evaluate on standard benchmarks and provide ablations and analyses. Results indicate consistent gains with minimal overhead.