6thSense
About
About 6thSense
6thSense captures manipulation demonstrations through wearable tactile sensors, cameras and body or hand tracking while synchronising them with robot-side measurements. A single session can therefore preserve contact force, image streams, depth, pose, motion and inertial information rather than reducing a task to video alone.
The company calibrates and structures these streams into model-ready datasets for imitation learning, evaluation and policy development. Its delivery model includes capture hardware, synchronisation software and custom collection programmes, allowing robotics teams to acquire task-specific multimodal data without assembling and time-aligning the sensing stack themselves.
Articles
Team
- James Baek - Co-founder and CEO - He leads 6thSense's tactile-data and sensing business for dexterous robot training and physical-AI systems.
- Alex Hyungwoo Noh - Founder and COO
- Matt Wulff - Founder and CPO - He leads product development for 6thSense's wearable tactile-sensing rigs and the multimodal data-collection systems used to train dexterous robots.
- Ronak Agarwal - Founder
Timeline
Events
- 2026-07-08 - Market Signal - 6thSense joins Y Combinator Summer 2026 batch
6thSense was selected for YC S26, giving the tactile-robotics startup accelerator backing and access to the program's founder network. The company captures synchronized pressure, contact, grip, vision, depth, force and 3D hand-pose signals from real human work. Its stated goal is to produce touch-aware training data for dexterous and humanoid manipulation systems outside laboratory settings.
Source
Context
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Context tags
- Physical AI data infrastructure - Stack Layer - Profile source material supports Physical AI data infrastructure context.
- Embodied AI - Capability - Profile source material supports Embodied AI context.
- Robotics data infrastructure layer - Stack Layer - Profile source material supports Robotics data infrastructure layer context.