Gideon launched TREY, an autonomous forklift that uses advanced physical AI technology to execute complete trailer loading and unloading operations in warehouses, manufacturing plants, and logistics centers. The heavy-duty model carries up to 6,000 pounds and can move 224 pallets per eight-hour shift while handling over 119 different load carrier types.
- TREY capabilities: Autonomous forklift available in medium-duty (3,500 lbs) and heavy-duty (6,000 lbs) models designed for docks receiving 30+ trailers daily
- Performance metrics: Moves up to 28 pallets per hour or 224 per eight-hour shift, handles 119+ load carrier types and multiple trailer styles
- Advanced AI technology: Uses image-based perception, sensor fusion, neural networks, and machine learning to recognize and respond to dock variability including dunnage and dynamic staging
- Safety features: Includes 360-degree laser scanner safety field, six emergency-stop buttons, remote control stop, and complies with ANSI/ITSDF B56.5-2019 and ISO 3691-4:2023 standards
- Autonomous charging: Charges between cycles with 10-hour (heavy-duty) or 12-hour (medium-duty) battery life per charge
Gideon launched TREY, what is said to be the only autonomous forklift that can execute trailer loading and unloading from the first pallet to the last in automotive manufacturing plants, food and beverage distribution centers, and third-party logistics (3PL) operations.
“Supply chain operators have been missing out on dock automation simply because automated forklift technology had not delivered on the critical requirements every warehouse needs – the ability to safely load and unload trailers,” says Edin Kočo, chief robotics officer and co-founder, Gideon. “Gideon’s TREY automated forklift has mastered trailer loading and unloading because it possesses advanced physical AI technology to recognize and respond to more variability on the dock than any other solution on the market.”
Key takeaways:
· TREY is an autonomous mobile robot (AMR) available in medium- and heavy-duty models to match the demands of manufacturing plants or warehouses. The heavy-duty model can move industrial parts and components with a payload of 6,000 pounds and operating time of 10 hours on one battery charge. The medium-duty model can carry a payload of 3,500 pounds and operate for 12 hours on one battery charge.
· Designed for warehouses that want to scale automation for large volume demand, the autonomous forklift performs at its peak on loading docks that receive 30 or more trailers per day.
- It can move up to 28 single- or double-stacked pallets or cages per hour, or 224 per eight-hour shift.
- TREY can also identify and handle more than 119 load carrier types of different sizes and weights, and work with various trailer styles ranging from dry van, refrigerated, drop deck, intermodal, and more.
- It charges autonomously between cycles, extending operating time across multiple shifts.
- TREY operates on Gideon’s physical AI platform that combines image-based perception technology with sensor fusion to interpret its surroundings.
- Using neural networks, machine learning, and its vision module, the automated forklift recognizes and responds to changing conditions during loading and unloading, including dunnage, orientation patterns, dynamic staging and other objects.
- TREY uses two laser scanners to create a 360-degree safety field around the forklift, while safety zones automatically adjust to changing operating conditions. An embedded safety controller continuously monitors safety-related inputs and can trigger immediate stops. The forklift is equipped with six emergency-stop buttons plus a remote control stop button to immediately discontinue operations.
- The system complies with the safety standard for Driverless, Automatic Guided Industrial Vehicles and Automated Functions of Manned Industrial Vehicles from the American National Standards Institute (ANSI/ITSDF B56.5-2019) as well as ISO 3691-4:2023 for Industrial Trucks: Safety Requirements and Verification Part 4: Driverless Industrial Trucks and Their Systems.
