From Vision to Harvest: Benchmarking Vision-Language Models for Multi-Arm Robotic Fruit Harvesting
This work introduces the first comprehensive benchmark for evaluating pretrained Vision-Language Models on zero-shot multi-arm fruit harvesting planning and shows that frontier VLMs can generate effective multi-arm harvesting plans zero-shot, but a practical deployment remains limited by accurate 3D waypoint generation...