Search papers, labs, and topics across Lattice.
3
0
3
GaP outperforms traditional methods in variational automation tasks by leveraging directed computation graphs for real-time adaptability and improved success rates.
Coding agents can now autonomously refine robotic manipulation policies to achieve a staggering 99% success rate on complex tasks, revolutionizing real-world robotics.
Decentralized task allocation can be both efficient and computationally cheaper than centralized approaches, even with limited communication and uncertain task completion.
