LACY is a VLM framework jointly trained on L2A, A2L, and L2C tasks that uses an active augmentation cycle to self-improve robotic manipulation policies, reporting a 56.46% average success rate gain in simulation and real-world experiments.
Coppeliasim (formerly v-rep): a versatile and scalable robot simulation framework
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.RO 2verdicts
UNVERDICTED 2representative citing papers
Chrono-Gymnasium is a Ray-based distributed wrapper that adds a Gymnasium interface to Project Chrono simulations, demonstrated on RL navigation and Bayesian lander optimization.
citing papers explorer
-
LACY: A Vision-Language Model-based Language-Action Cycle for Self-Improving Robotic Manipulation
LACY is a VLM framework jointly trained on L2A, A2L, and L2C tasks that uses an active augmentation cycle to self-improve robotic manipulation policies, reporting a 56.46% average success rate gain in simulation and real-world experiments.
-
Chrono-Gymnasium: An Open-Source, Gymnasium-Compatible Distributed Simulation Framework
Chrono-Gymnasium is a Ray-based distributed wrapper that adds a Gymnasium interface to Project Chrono simulations, demonstrated on RL navigation and Bayesian lander optimization.