Tutor Intelligence Launches Advanced Cassie and Sonny Robots for Industrial Applications
- Published
Tutor Intelligence has introduced the next-generation Cassie and Sonny robots, enhancing their capabilities for material handling and e-commerce fulfillment. The new Cassie robot is fully autonomously mobile, enabling it to navigate between workstations and perform various tasks in factories and warehouses. It has already been utilized for applications such as depalletization and palletization, completing millions of bulk picks across the United States.
The advancements in Cassie are significant as they allow for seamless integration into existing facilities without requiring major infrastructure changes. Powered by Tutor's Turing 200-million-parameter foundation model, Cassie can perceive its environment and execute tasks autonomously. The robot is equipped with a four-wheel mobile base, onboard vacuum generation, and multiple LiDAR units for navigation and human detection.
Additionally, Tutor has unveiled a new version of Sonny, designed for tasks requiring higher dexterity, particularly in e-commerce fulfillment. Sonny will be the first platform powered by the Ti0 4.5-billion-parameter vision-language-action model, allowing it to autonomously navigate warehouses and manage order fulfillment. No further timeline was disclosed at the time of publication.
Original report
Tutor Intelligence unveils next-generation Cassie and Sonny robots
RoboticsAndAutomationNews.com · Sam FrancisThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
Rights concerns? Contact [email protected] with the relevant URL and details. We will review the matter and take appropriate action where warranted.
More related news
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10
- 11
-
12
RobotToday Weekly November 2 – 6, 2026 RobotToday · 6 days ago
Related Suppliers
Tutor Intelligence
United States
MIT CSAIL spinout delivering AI-powered robot workers for manufacturing and logistics via RaaS, with Cassie palletizer and Sonny humanoid platforms.
Hybrid Robotics Lab, UC Berkeley
United States
UC Berkeley lab led by Prof. Koushil Sreenath researching nonlinear control of legged and aerial robots; creator of the open-source Berkeley Humanoid Lite.
Songying Technology 松应科技
China
Songying Technology (ORCA3D) is a Shanghai physics-AI simulation software maker for embodied-AI robot training, backed by early-stage VC investors.
MULA Autonomous Robots SL
Spain
MULA is a Navarra-based start-up building the MULA 1250, a 4WD electric autonomous carrier with 3-point hitch for orchards and woody crops.
Intuitive Robots
France
French robotics software company and official European distributor of Boston Dynamics Spot, deploying autonomous robots for industrial infrastructure.
Worldwide Material Handling
United States
US manufacturer of robotically welded wire mesh decking and pallet rack accessories, supplying warehouses in 50+ countries from Romeoville, IL.
Toyota Material Handling Group
Japan
Materials handling business of Toyota Industries; lift trucks plus automated tow tractors, stackers and reach trucks under Toyota and Raymond brands
Locus Robotics
United States
US AMR company offering LocusBot warehouse robots on a RaaS model; surpassed 6 billion picks across 350+ global fulfillment sites.
Sparck Technologies
Netherlands
Dutch pioneer in automated fit-to-size packaging systems for e-commerce, producing up to 1,100 custom boxes per hour.
BlueSkye Automation
United States
Charlotte, North Carolina intralogistics integrator and Weisiger Group member; builds ASRS, AMR, and conveyor systems for distribution centers.
Cornerstone Automation Systems (CASI)
United States
US manufacturer of modular warehouse and pharmacy fulfillment automation systems assembled in Frisco, Texas.
AMI Labs
France
AMI Labs is a Paris AI startup founded by Yann LeCun in 2025, building JEPA-based world models trained on real-world sensor data, not language.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Join the RobotToday community on LinkedIn
Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.
