#robot-manipulation
The latest AI and developer news about #robot-manipulation, with the original source and a short summary.
The latest AI and developer news about #robot-manipulation, with the original source and a short summary.
GPT-6 Astra outperformed Claude Fable 5.1 in robot block insertion tasks with a 95% success rate and 2.3x lower cost.
We propose MoMo, a framework that allows robots to adjust their motion style according to the task environment through spatiotemporal action tokenization.
GroundedPlanBench and V2GP, which make VLMs plan actions and locations together, boosted performance.
By having the VLM branch arm and gripper actions, it improves manipulation performance even in dynamic environments.