Teleoperated Surgical Robot Patents 2026 — PatSnap Eureka
Teleoperated Surgical Robot Patents 2026
Teleoperated surgical robots are converging on AI-native latency compensation, haptic feedback, and 5G session management. This landscape maps 20+ patent records spanning 2013–2026 across master-slave kinematics, edge computing, and VR surgical consoles.
From Master-Slave Kinematics to AI-Augmented Teleoperation
Teleoperated surgical robotic systems enable surgeons to perform minimally invasive procedures from geographically separated locations by transmitting motion commands through master-slave control architectures over wired or wireless communication networks. The core architecture appears across more than 20 patent records in this dataset, spanning simple laparoscopic tool systems to multi-arm platforms with dual-network redundancy.
The field has evolved through three phases: early foundations pre-2016 establishing force-feedback AI concepts, rapid platform development from 2016–2021 with concentrated US and EP filings, and an AI and connectivity convergence phase from 2022–2026 where intelligent latency compensation and remote session management have become the primary innovation frontier.
Key sub-domains include master-slave kinematic control with parallelogram-based remote-center-of-motion mechanisms, haptic and force feedback with multi-modal tactile and thermal loops, AI-assisted teleoperation with predictive trajectory compensation, and extended reality interfaces replacing conventional stereo viewers with VR headsets.
India shows the second-highest filing count in this dataset, with active or pending filings from six domestic institutions in the 2023–2026 window — signaling a sharp acceleration of domestic innovation oriented toward low-cost and rural-access applications. The United States remains the most represented jurisdiction, with active patents spanning the full technology stack from 2016–2024.
Filing Activity by Technology Phase and Cluster
The dataset shows three distinct filing phases: early AI concepts pre-2016, a rapid platform development surge in 2016–2021, and a post-2022 shift toward AI-native and session management architectures. Four technology clusters — kinematic control, haptic feedback, AI edge computing, and XR session management — each show distinct assignee concentration patterns.
Patent Filings by Technology Cluster — Teleoperated Surgical Robots
Master-slave kinematic architectures are the most represented cluster in the dataset, followed by extended reality and session management, with AI edge computing emerging as the fastest-growing recent cluster.
↗ Click bars to exploreFiling Activity by Innovation Phase — Teleoperated Surgical Robots
The 2016–2021 platform development phase produced the highest filing volume in the dataset, while the 2022–2026 AI convergence phase shows accelerating activity concentrated in AI inference, session orchestration, and edge computing.
↗ Click bars to exploreKey Clinical and Operational Domains for Teleoperated Surgical Robots
Patent filings and literature in this dataset address six primary application domains, ranging from laparoscopic abdominal surgery — the most represented — to rural healthcare access infrastructure and military trauma environments.
Minimally Invasive Abdominal Surgery
The dominant application domain in the dataset, with systems from Sina Robotics, DistalMotion SA, Harbin Intelligent Surgery Equipment, and Sudhir Srivastava Innovations explicitly designed for laparoscopic contexts. Sina Robotics US patents (2019, 2021, 2023) specifically address laparoscopic slave arms and tool adapting mechanisms. Literature confirms robotic-assisted laparoscopic surgery exceeds conventional laparoscopy adoption rates by 10–40× for general procedures.
Laparoscopic SurgeryNeurosurgery and Stereotactic Procedures
Described in literature as early as 2004 with the neuroArm system, neurosurgical teleoperation is formalized as a target domain in the IX Innovation LLC edge-computing patent (US, 2023), which explicitly supports spinal inserter swapping and drill positioning. Literature on robotic stereotactic neurosurgery simulation confirms growing clinical interest in high-precision anatomically constrained teleoperation.
NeurosurgeryTrauma and Military Remote Surgery
Intuitive Surgical’s 2020 US patent on variable force scaling explicitly references warzone relay communications as a scenario for teleoperated surgery. A 2021 literature review on telesurgery history identifies trauma treatment in remote environments as a primary clinical driver. Sovato Health’s session-management patents (US, 2024) further address infrastructure for operating across geographically distributed facilities.
Remote Environment SurgeryRural and Underserved Healthcare Access
Multiple patent filings — including the Indian telesurgery cybernetics patent (Preethika Immaculate Britto, IN, 2013), the Harbin Intelligent Surgery Equipment EP filing (2023), and the Noida Institute VR model (2025) — explicitly cite geographic healthcare inequity as the primary motivation. The Harbin EP patent describes enabling patients in remote areas to receive surgery without co-location of surgeon and patient. India’s 2023–2026 filing acceleration is largely oriented toward this low-cost rural-access framing.
Healthcare AccessLeading Assignees in Teleoperated Surgical Robot IP
KindHeart, Inc. leads the dataset by filing count with 8+ records, followed by DistalMotion SA with 6 filings across US, WO, AU, and CA jurisdictions. Intuitive Surgical Operations, Inc., Sina Robotics, Sudhir Srivastava Innovations, and Koninklijke Philips N.V. each hold 4 records, spanning training architectures, laparoscopic integration, multi-arm tele-surgery, and VR-based surgical control.
Top Assignees by Filing Count — Teleoperated Surgical Robot Dataset
↗ Click bars to exploreKindHeart, Inc.
KindHeart, Inc. leads the dataset with 8+ records filed across EP and WO jurisdictions, primarily covering telerobotic surgery training system architecture. Key patents include telerobotic surgery systems for remote surgeon training using party conferencing (EP, 2018) and animating device systems enabling live tissue display at remote stations (EP, 2018). The filing window spans 2016–2019, establishing a comprehensive IP position around remote-training system components.
United StatesDistalMotion SA
DistalMotion SA holds 6 records spanning US, WO, AU, and CA jurisdictions with filings between 2019 and 2021, focused on surgical robot systems comprising robotic telemanipulators and integrated laparoscopy. A key patent (US, 2021) describes a macro-synchronization state for seamless switching between robotic manipulation and integrated laparoscopy. The multi-jurisdiction strategy reflects international commercialization intent targeting major surgical robot markets.
SwitzerlandFive Directional Signals from 2023–2026 Filings
The most recent filings in this dataset — from Meenakshi Academy, Verb Surgical, IX Innovation, Sovato Health, and Sudhir Srivastava Innovations — collectively signal a transition from raw mechanical teleoperation toward AI-native control infrastructure, session orchestration, and immersive VR console interfaces.
AI-Native Latency Compensation as Safety Infrastructure
The 2025 Meenakshi Academy patent explicitly uses AI trajectory prediction as a first-class safety mechanism rather than a supplementary feature, compensating for network latency while a blockchain audit module handles secure data logging. The 2025 Verb Surgical WO patent embeds surgical simulation models into the live teleoperation loop to generate video representations of simulated task performance for real-time decision support. These filings indicate the field is treating AI inference as infrastructure, not an add-on.
Edge-Compute Architecture Avoiding Remote Data Transfer
IX Innovation LLC’s 2023 US patent for edge computing in robotic telesurgery explicitly avoids routing data to a remote computer — a direct architectural response to latency and data-sovereignty concerns in clinical environments. The patent supports spinal inserter swapping and drill positioning as explicit use cases. This on-device AI inference model represents a structural departure from cloud-dependent teleoperation architectures prevalent in earlier filings.
Classical Master-Slave vs. AI-Augmented Teleoperation Architectures
Click any row to explore further.
| Dimension | Classical Master-Slave Kinematics | AI-Augmented Teleoperation |
|---|---|---|
| Representative Assignees | Sina Robotics, DistalMotion SA, Indian Institute of Technology Madras | Verb Surgical Inc., IX Innovation LLC, Meenakshi Academy of Higher Education and Research |
| Filing Period | 2013–2023 (core filings concentrated 2016–2021) | 2023–2026 (accelerating post-2022) |
| Latency Handling | Tremor filtering and motion scaling in signal chain; no predictive compensation | AI trajectory prediction as first-class safety mechanism; edge-compute inference avoiding remote data routing |
| Force Feedback | Variable force scaling (Intuitive Surgical, US 2020); largely absent in first-generation commercial systems | AI-based haptic prediction compensating network latency (Meenakshi Academy, IN 2025); multi-sensor suite including biochemical sensors (HITO Robotics, IN 2026) |
| Network Architecture | Single wired or wireless channel; no explicit redundancy in most filings | Dual-network (private + public) with local surgeon failover (Sudhir Srivastava / SSI IP Holdings, IN/WO 2025) |
| Surgeon Interface | Fixed stereo viewer consoles; ergonomic master arm adjustment (Sina Robotics) | VR headset with end-effector path planning from tracking data (Koninklijke Philips, US 2022); mechanically ungrounded handheld master tools (Medical Microinstruments, CN 2025) |
| Session Management | No dedicated session orchestration layer in classical filings | Pre-session network verification, compatibility checks, multi-session scheduling (Sovato Health, US 2024) |
| Decision Support | None — surgeon relies entirely on visual feedback from stereo viewer | AI-generated simulation models producing video of simulated task performance for real-time support (Verb Surgical, WO 2025) |
Frequently Asked Questions — Teleoperated Surgical Robot Patents
KindHeart, Inc. leads the dataset with 8+ records filed across EP and WO jurisdictions, primarily covering telerobotic surgery training system architecture. Their filing window spans 2016–2019.
Minimally invasive abdominal and laparoscopic surgery is the dominant application domain. Systems from Sina Robotics, DistalMotion SA, Harbin Intelligent Surgery Equipment, and Sudhir Srivastava Innovations are all explicitly designed for laparoscopic contexts.
Sovato Health holds two 2024 US patents covering remote surgery session management. One patent covers multi-session scheduling for a plurality of remote patient-side systems and surgeon consoles. The second covers pre-session verification of console compatibility, bidirectional audio-video, and network condition criteria as patient safety gates.
IX Innovation LLC’s 2023 US patent for edge computing in robotic telesurgery explicitly avoids routing data to a remote computer — reducing latency exposure for spinal procedures including inserter swapping and drill positioning. This represents an architectural shift from cloud-dependent to on-device AI inference.
India shows the second-highest filing count in this dataset, with active or pending filings from six domestic institutions in the 2023–2026 window. The concentration of Indian filings is largely oriented toward low-cost and rural-access telesurgery applications, with geographic healthcare inequity cited as a primary motivation across multiple patents.
Haptic feedback is identified as the primary whitespace. Despite appearing in multiple recent patents, force-feedback in long-distance teleoperation remains technically unresolved at clinical scale. Additionally, session management and connectivity verification are underprotected — Sovato Health holds two of the few patents explicitly covering remote surgery session initiation protocols and network safety gates.
Data and insights on this page are based on a limited patent and literature dataset and are for reference only. Figures may not represent the complete technology landscape.