AI & ML
Haptic bilateral teleoperation system for free-hand dental procedures
arXiv cs.RO0 views
arXiv:2503.21288v4 Announce Type: replace Abstract: Free-hand dental procedures are typically repetitive, time-consuming and require high precision and manual dexterity. Robots can play a key role in improving procedural accuracy and safety, enhancing patient comfort, and reducing operator workload. However, robotic solutions for free-hand procedures remain limited or completely lacking. To address this gap, we develop a haptic bilateral teleoperation system (HBTS) for free-hand dental procedures (FH-HBTS). The system includes a mechanical end-effector, compatible with standard clinical tools, and equipped with an endoscopic camera for improved visibility of the intervention site. By ensuring motion and force correspondence between the operator's and the robot's actions, monitored through visual feedback, we enhance the operator's sensory awareness and motor accuracy. Furthermore, to ensure procedural safety, we limit interaction forces by scaling the motion references provided to the admittance controller based solely on measured contact forces. This ensures effective force limitation in all contact states without requiring prior knowledge of the environment. The proposed FH-HBTS is validated through a technical evaluation and an in-vitro pre-clinical study conducted on a dental model under clinically representative, yet simplified, conditions. The results show that the system improves the naturalness, safety, and accuracy of teleoperation, highlighting its potential to enhance free-hand dental procedures.
Source:https://arxiv.org/abs/2503.21288PreviousSceneBloom: Agentic Indoor Environment Generation with Realistic and Diverse Layouts for Embodied LearningNextDeep Learning Warm Starts for Trajectory Optimization on the International Space Station
Related posts

Use it, or lose it 🧠
0dev.to AI

AI Daily Digest November 3, 2026: OpenAI Wires Agents into ServiceNow, Australia Books a 40,000-GPU AI Factory
0dev.to AI
How Publishers Can Test Engagement Signals to Improve On-Site Discovery
0dev.to AI
What Meta's Muse actually reads: first data from 3 tiny businesses
0dev.to WebDev
Your AI apps should answer to you, not to their lab
0dev.to Security

Warp's Breach Reached Agent Decision Logs. What One Agent Trace Actually Contains
0dev.to Security