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Chemistry3D: Robotic Interaction Benchmark for Chemistry Experiments

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arxiv 2406.08160 v1 pith:EHNYE46S submitted 2024-06-12 cs.RO

classification cs.RO
keywords chemistry3dsimulationchemicalexperimentsrobotictoolkitdetectionhttps
verification ladder T0 review T1 audit T2 compute T3 formal
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The advent of simulation engines has revolutionized learning and operational efficiency for robots, offering cost-effective and swift pipelines. However, the lack of a universal simulation platform tailored for chemical scenarios impedes progress in robotic manipulation and visualization of reaction processes. Addressing this void, we present Chemistry3D, an innovative toolkit that integrates extensive chemical and robotic knowledge. Chemistry3D not only enables robots to perform chemical experiments but also provides real-time visualization of temperature, color, and pH changes during reactions. Built on the NVIDIA Omniverse platform, Chemistry3D offers interfaces for robot operation, visual inspection, and liquid flow control, facilitating the simulation of special objects such as liquids and transparent entities. Leveraging this toolkit, we have devised RL tasks, object detection, and robot operation scenarios. Additionally, to discern disparities between the rendering engine and the real world, we conducted transparent object detection experiments using Sim2Real, validating the toolkit's exceptional simulation performance. The source code is available at https://github.com/huangyan28/Chemistry3D, and a related tutorial can be found at https://www.omni-chemistry.com.

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Cited by 5 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Pipette: An Embodied Simulation Platform, Benchmark, and Data-Efficient Augmentation Framework for Wet-Lab Robotics

    cs.RO 2026-06 unverdicted novelty 6.0 of 10

    Pipette supplies an open wet-lab simulation platform, 11-task benchmark, and perturbation-based augmentation pipeline that raises VLA success rates on sample handling and device tasks from limited demonstrations.

  2. Pipette: An Embodied Simulation Platform, Benchmark, and Data-Efficient Augmentation Framework for Wet-Lab Robotics

    cs.RO 2026-06 conditional novelty 6.0 of 10

    A wet-lab simulation benchmark and success-checked augmentation loop for turning 30 demonstrations per task into policy training data, reported to lift SmolVLA from 44% to 75% simulated success.

  3. Pipette: An Embodied Simulation Platform, Benchmark, and Data-Efficient Augmentation Framework for Wet-Lab Robotics

    cs.RO 2026-06 conditional novelty 5.0 of 10

    With 30 demos per task, simulation replay augmentation raises SmolVLA wet-lab success from ~44% to ~75% and modestly helps π0, while ACT remains competitive as a non-VLA baseline.

  4. RoboChemist: Long-Horizon and Safety-Compliant Robotic Chemical Experimentation

    cs.RO 2025-09 conditional novelty 5.0 of 10

    A dual-loop VLM plus VLA system uses visual prompts and closed-loop monitoring to perform chemistry lab manipulations with reported gains in success and safety-compliance over baseline robot policies.

  5. Trans2Occ: Voxel Occupancy Estimation and Grasp for Transparent Objects from Simulation to Reality

    cs.RO 2026-06 unverdicted novelty 4.0 of 10

    A simulation-trained model predicts voxel occupancy from single RGB views for transparent object grasping and transfers to real robotic setups without fine-tuning.

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