Give me scissors: Collision-Free Dual-Arm Surgical Assistive Robot for Instrument Delivery
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Abstract (arXiv)
During surgery, scrub nurses are required to frequently deliver surgical instruments to surgeons, which can lead to physical fatigue and decreased focus. Robotic scrub nurses provide a promising solution that can replace repetitive tasks and enhance efficiency. Existing research on robotic scrub nurses relies on predefined paths for instrument delivery, which limits their generalizability and poses safety risks in dynamic environments. To address these challenges, we present a collision-free dual-arm surgical assistive robot capable of performing instrument delivery. A vision-language model is utilized to automatically generate the robot's grasping and delivery trajectories in a zero-shot manner based on surgeons' instructions. A real-time obstacle minimum distance perception method is proposed and integrated into a unified quadratic programming framework. This framework ensures reactive obstacle avoidance and self-collision prevention during the dual-arm robot's autonomous movement in dynamic environments. Extensive experimental validations demonstrate that the proposed robotic system achieves an 83.33% success rate in surgical instrument delivery while maintaining smooth, collision-free movement throughout all trials. The project page and source code are available at https://give-me-scissors.github.io/.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 11 of its 30 references that are in the map. First posted on arXiv 3 Mar 2026.
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References · 11
- 2023Segment Anythingcited by 8,158
- 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,764
- 2023VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Modelscited by 733
- 2019MediaPipe: A Framework for Building Perception Pipelinescited by 572
- 2024ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulationcited by 305
- 2023Physically Grounded Vision-Language Models for Robotic Manipulationcited by 163
- 2023Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysiscited by 99
- 2021CollisionIK: A Per-Instant Pose Optimization Method for Generating Robot Motions with Environment Collision Avoidancecited by 4
- 2024Collision Avoidance for Convex Primitives via Differentiable Optimization Based High-Order Control Barrier Functionscited by 2
- 2023DawnIK: Decentralized Collision-Aware Inverse Kinematics Solver for Heterogeneous Multi-Arm Systemscited by 1
- 2025T-Rex: Task-Adaptive Spatial Representation Extraction for Robotic Manipulation with Vision-Language Modelscited by 1
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- 2024RoboNurse-VLA: Robotic Scrub Nurse System based on Vision-Language-Action Model
- 2026Trajectory Divergence Horizon Decision for Reliable Dual-Arm Surgical Subtask Manipulation
- 2025SutureBot: A Precision Framework & Benchmark For Autonomous End-to-End Suturing
- 2024SuFIA: Language-Guided Augmented Dexterity for Robotic Surgical Assistants
- 2024APEX: Ambidextrous Dual-Arm Robotic Manipulation Using Collision-Free Generative Diffusion Models
- 2026Imitation Learning for Robot Assistance in Open Surgery: A Multi-Policy Evaluation on Suture Following
- 2023TIMS: A Tactile Internet-Based Micromanipulation System with Haptic Guidance for Surgical Training ↗
- 2026MACAW: Reliable And Efficient Surgical Debridement Using Monocular Adaptive Compact Attention Windows ↗