Service Robotics
Service robotics brings advanced automation into everyday environments, enabling systems to operate safely and intelligently alongside people.
These robots require fast spatial awareness and precise environmental sensing to navigate dynamic indoor spaces.
ScioSense provides high‑performance semiconductor solutions that deliver the sensory intelligence essential for modern service robots.
Our sensors support accurate navigation, real time air quality monitoring, and reliable detection of subtle physical changes-all with low power consumption and high integration.
By incorporating ScioSense technology, manufacturers can build robots that are more autonomous, efficient, and responsive. Our solutions help drive innovation across cleaning, delivery, and hospitality applications, setting new standards for performance and user interaction.
Cleaning Robots
These robots live in dynamic, often messy environments where surface detection and maintenance alerts are critical.
Surface and Liquid Detection: Capacitance to Digital Converters (CDCs) can distinguish between carpet and hard floors by measuring the dielectric change. The sensors can also monitor fluid levels in scrubbing tanks to signal when a refill is needed.
Air Quality Monitoring: The Digital Metal-Oxide Multi-Gas Sensor Family can detect high concentrations of VOCs (Volatile Organic Compounds) or odors, allowing the robot to increase suction power or focus on “deep clean” areas automatically.
Filter Health: Resistance to Digital Converters can be used with pressure-sensitive resistors to monitor airflow resistance, notifying the user exactly when a filter is clogged and needs replacement.
Delivery Robots (Goods Transport)
Safety and battery longevity are the primary concerns for robots moving through hallways or urban sidewalks.
Obstacle Avoidance: Time to Digital Converters (TDCs) are the backbone of high-speed LiDAR and ultrasonic ranging, providing the sub-nanosecond timing necessary for the robot to “see” and stop for pedestrians or pets in real-time.
Battery Management: Low Frequency Wake-up Receivers allow the robot to remain in a “deep sleep” state at a charging station, waking up when it receives a specific low-power signal from the dispatch system.
Cargo Integrity: To maintain the cold chain for medical and food delivery, Temperature and Humidity Sensors continuously log internal climate data, ensuring every delivery meets safety standards and customer expectations.
Customer Service Robots (Retail & Hospitality)
In social settings, these robots must be responsive to human presence and environmental comfort.
Human Proximity Sensing: Capacitance to Digital Converters enable “touch-free” buttons or proximity skins, allowing the robot to react when a human reaches out or when a human stands nearby without requiring physical contact.
Comfort Control: Temperature and Humidity Sensors allow a concierge robot to monitor the local micro-climate (e.g., in a hotel lobby), providing data back to the building’s HVAC system to ensure guest comfort.
Environmental Awareness: Using the Digital Metal-Oxide Multi-Gas Sensor Family, a robot in a public space can act as a mobile safety monitor, detecting smoke or gas leaks long before a stationary alarm might be triggered.
Design requirements / challenges
Products
Design requirements / challenges:
Dynamic Spatial Awareness: Utilizing Time-to-Digital Converters (TDCs) to achieve picosecond timing for LiDAR and ultrasonic ranging, ensuring safe navigation around unpredictable human movement.
Ultra-Low-Power Persistence: Implementing nano-amp sensing and “Wake-up” triggers to maximize battery life, allowing robots to operate for full shifts without frequent docking.
Cargo & Environmental Integrity: Maintaining “absolute fidelity” in climate monitoring for food or medical delivery, ensuring internal payloads remain within strict safety parameters.
Zero-Lag Interaction: Leveraging high-speed Capacitance-to-Digital Converters (CDCs) to enable “digital skins” and touch-free interfaces that respond to human proximity in real-time.
Edge-Processed Sensing: Utilizing on-chip DSPs to filter environmental “noise” and process sensory data locally, reducing the computational load on the robot’s main processor and improving response times.