Physical AI

Robotics AI Training Platform

Leveraging force sensing to empower the AI community with the next generation of robotic data collection methods.

Bota Systems enables Physical AI by combining high-fidelity force sensing, tactile feedback, vision, and robot state into a unified data collection platform.

The system is designed to help researchers and automation teams generate reliable, contact-rich datasets for modern robotic learning.

The most efficient platform for Robotic AI

Bota Systems enables Physical AI through three complementary interaction methods.

Together, they create a unified platform for collecting high-quality, contact-rich data and turning your robot into a true Physical AI data engine.

Haptic Teleoperation

Operate robots remotely with real-time force feedback. Haptic Teleoperation allows users to feel interaction forces at the end effector, enabling precise control, safer remote operation, and high-fidelity demonstration data for AI training.

Best for:

Kinesthetic Teaching

Teach robots by physically guiding them through tasks. Kinesthetic Teaching provides an intuitive way to program robots while capturing synchronized motion, force, and sensory data for learning-based automation.

Best for:

Tactile Sensing

Give robots fingertip-level awareness of contact. Tactile sensing enables detection of subtle forces, slip events, and object interactions that vision alone cannot capture—unlocking reliable contact-rich manipulation.

Best for:

Teleoperation System Architecture

Bota Systems’ haptic teleoperation platform connects a leader robot operated by a human with a follower robot performing the task.

Motion commands and force feedback are exchanged in real time, enabling intuitive robot control while capturing high-fidelity interaction data for Physical AI training.

A dedicated controller synchronizes both robots and streams robot state and force measurements to the host system through a ROS2 interface, where experiments can be monitored and datasets recorded.

Multimodal Data Capture

System Architecture Overview

Multimodal Data Capture

Unify robot dynamics, vision, and semantic context into one synchronized data pipeline for Physical AI.

Robot State

Capture precise, time-synchronized robot dynamics:

Enhance physical interaction data with visual context:

Add semantic context to every episode:

Precision You Can Trust

Reliable Hardware

Bota offers Haptic Teleoperation and Kinesthetic Teaching with maximum efficiency and accuracy for data collection with the most reliable hardware:

High-Quality Data for Manipulation

All critical modalities captured — synchronized and aligned.

Designed to produce clean, learning-ready datasets for contact-rich robotic tasks.

Extreme Sensitivity with the Sense of Touch

Measure subtle interactions with high resolution:

Detect micro-forces, early contact events, and slip — beyond what vision alone can provide.

Effortless Data Collection

Intuitive User Interface

Collect rich multimodal data through a streamlined Click & Collect workflow.

Built for fast experimentation and efficient dataset generation.

Supported Robot Platforms

The Bota Systems data collection platform integrates seamlessly with a wide range of robot brands and accessories, combining hardware compatibility with deep, low-level software integration.

Ready to Build Physical AI?

Turn your robot into a high-fidelity data engine for contact-rich intelligence.

Learn more

Read more about the different technologies and state-of-the-art in the articles below.

Tactile Sensors: Definition, Examples & Sensors

Sensor Terminology 101: Sensitivity, Accuracy & Other Metrics

The Three-Layer AI Architecture for Robotic Manipulation including Force Sensors