Developer of the Piper single-arm manipulator used in GTA-VLA real-world experiments.
“Dedicated force-torque (FT) sensors are typically available only on expensive platforms such as Franka, Flexiv, or KUKA arms”
Source→“We evaluate this capability on platforms spanning low-cost arms such as the Piper ($2,500) and high-end arms such as the Franka ($30,000)”
Source→“The software implementation required '9.2 minutes and 420 lines of code across 3 files, with zero human intervention during code generation.'”
Source→“We deploy our system on a single-arm AgileX Piper manipulator (Section 8)”
Source→“Total software integration required '9.2 minutes and 420 lines of code across 3 files, with zero human intervention during code generation.'”
Source→“Platform A is an ALOHA AgileX dual-arm system, equipped with two Intel Orbbec Dabai wrist cameras.”
Source→“On a real Agilex Piper arm, VLA-ATTC improves average success across three physical tasks (stacking cubes, pouring water, sweeping rubbish) by 17.3% for PI0 and 10.7% for PI0.5 (Table 2).”
Source→“The RoboTwin 2.0-Plus benchmark uses the Aloha-Agilex bimanual robot setup, making AgileX's hardware the evaluation platform for dual-arm WAM/VLA robustness in this study.”
Source→“RoboTwin 2.0-Plus, an in-house benchmark that follows a similar perturbation protocol in the two-arm Aloha-Agilex setup of RoboTwin 2.0 (Section 1).”
Source→“ΔVLA attains an average success rate of 72% on Galaxea R1 Lite and 69% on AgileX Cobot Magic... DreamVLA: 53% and 49% respectively.”
Source→“We deploy ΔVLA on both the AgileX Cobot Magic and Galaxea R1 Lite platforms for real-world evaluations.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.