<description>Sensetics offers multisensory integration services and SDKs that embed synchronized haptic, spatial audio, and visual feedback into robotic and AI platforms. Its ROS‑2‑compatible framework enables OEMs and research labs to improve operator efficiency, reduce training time, and enhance safety in collaborative environments through real‑time sensor‑fusion and human‑centered design.</description
Funding
Funding not disclosed
Founders
Product
Problem
Robotic systems and AI-driven interfaces often rely on limited or single-modality feedback, making interactions feel unnatural and reducing operator efficiency, especially in complex or collaborative environments. This sensory gap hampers adoption in sectors such as manufacturing, healthcare, and consumer robotics where intuitive human‑machine communication is critical.
Solution
Sensetics delivers end‑to‑end multisensory research and design services that embed tactile, auditory, and visual feedback into robotic and AI platforms. By combining sensor fusion, real‑time signal processing, and human‑centered design, the company creates custom feedback loops that align machine outputs with human perceptual expectations. Proprietary integration frameworks are packaged as SDKs and ROS‑compatible modules, enabling manufacturers to embed synchronized haptic, spatial audio, and visual cues without extensive in‑house expertise. The resulting interfaces improve task performance, reduce training time, and support safer collaborative operations. Sensetics also offers licensing of these frameworks, allowing partners to scale the technology across product lines while retaining control over customization.
Target Audience
Primary customers are robotics OEMs, AI platform providers, and HRI research labs that require integrated multisensory feedback to enhance user interaction and operational safety.
Features
- Custom haptic actuator designs with low‑latency closed‑loop control for force, vibration, and texture rendering
- Spatial audio engine that synchronizes binaural sound cues with robot motion using head‑related transfer functions (HRTFs)
- Adaptive visual feedback modules (LED arrays, AR overlays) that modulate intensity and pattern based on context
- Sensor‑fusion middleware that merges proprioceptive, environmental, and user‑input data to drive multimodal output in real time
- ROS‑2 compatible SDK and API library for seamless integration into existing robotic stacks
- Simulation toolkit that models multisensory effects in virtual environments for rapid prototyping and validation
- Compliance with ISO 13482 safety standards and IEC 62366 usability engineering processes
- Modular architecture allowing selective deployment of tactile, auditory, or visual channels based on application needs