Standard Tray. Large Tray. Sort Control. Variable tilt angle and speed. Manual or Robotic.
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Robot Run Time. Charge Time. Up to 1. Belt Size.
Max Load Size. Independent belts. Manual or Automated. Maximum efficiency — Robot navigation via real-time control to ensure movement along the most efficient path. Space utilization — Requires 25 percent or less space when compared to traditional sortation systems. Labor productivity — High sort density in compact space results in larger batches for greater picking efficiency and productivity. Complete modularity — Robots can be easily added at any time to increase throughput and all system components are modular for simple expansion and reconfiguration.
Ultimate flexibility — Unit and parcel sortation can be used separately or simultaneously, and the system is fully portable, configurable and scalable with no fixed infrastructure or permitting. Lower capital investment — Robots cost 40 to 50 percent less than a traditional tilt tray or crossbelt system and can be purchased and installed as needed to postpone investment and enable complete utilization of the asset.
High capacity — Multi-level design can more than double the volume, sort points and capacity in a single footprint. The system has mirrored servers, redundant infrastructure and an uninterruptable power supply backup. See the Advantages in Action. Robotics Range of Capabilities. Wide Range of Unit Handling — The variety of unit loads t-Sort can process is much broader than traditional sortation systems.
This includes apparel, shoe boxes, general merchandise, shipping bags and small-to-medium boxes. As the item is loaded, the system identifies the item and the required method to optimally sort the item.
Prototyping of Robotic Systems: Applications of Design and Implementation - Semantic Scholar
This unique capability is not available in typical systems in use today. The items found in a retail store can be sorted in a special store-based mode for buy online pick up in store BOPIS and local e-commerce orders.
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Most grocery and retail merchandise items are sortable with t-Sort. The t-Sort Plus model can handle larger loads with weights up to pounds, further expanding the range of sortable products. Wide Range of Sortation Destination — As each robot makes a complete stop at the sort destination, t-Sort can perform a positive and accurate sort to a variety of destinations, including shipping cartons, totes, gravity conveyor lines, chutes, bags, and gaylords. Ease of Configuration and Expansion — All components are modular, allowing the system to grow and increase its operational functionality as needed.
This includes easily expanding the number of robots, sort points and induction stations, and reconfiguring the system size, shape and sort functions. Robotics Range of Applications.
The system also provides sortation to an individual order as opposed to a batch of orders sorted to a single location, eliminating a secondary sort. This design provides a superior unit sortation process compared to traditional fixed track systems. Store Replenishment — Robots sort both directly into a store-bound container or to chutes for pack out.
The system can continuously track contents, cube and weight to effectively direct container closure and ensure that outbound cube is minimized. The backroom system: Facilitates inbound sortation of mixed containers to aisles for more efficient shelf stocking. Enhances e-commerce order processing by allowing store batch picking by department and automated, accurate and efficient order consolidation.
Facilitates BOPIS in the same manner as e-commerce orders to allow fast processing and minimize labor and store aisle congestion. Automates order consolidation, increasing customer service levels and decreasing labor requirements. System can also sort parcels to route to originating post offices for local e-commerce shipments, allowing next-day delivery at the lowest cost.
Parcel Sortation — t-Sort provides a flexible and expandable parcel sortation solution that can handle mailers, bags and cartons on the same system. Items can be sorted directly to postal bags, various size gaylords or accumulation lanes for palletizing. Sortation can be to the SKU, vendor or other defined levels for a given client. Systems provide hundreds to thousands of sort locations and can be used for e-commerce, store replenishment, returns and other flows simultaneously.
A client can start with a small system and grow it each year through expansion. Supplement Existing Sites — When existing automation has reached capacity, a small t-Sort system can be added to a site with minimal disruption, eliminating the need to make a significant upfront investment in money and time.
Prototyping of Robotic Systems: Applications of Design and Implementation
Tompkins Robotics System Intelligence. Real-time dashboards, tools, and labor feedback provide continuous insight into current operations. Provides many standard reports and analytics to assist any operation in maximizing the benefits of t-Sort. Supports waveless picking and intelligent batching to drive efficient picking processes. Dynamic chute assignment algorithm ensures effective use of robots and efficient chute turnover. Executive Team.
Mike Futch President. Bruce Baring Vice President. Thompson Brockmann Vice President, Operations. Thompson Brockmann is an instrumental Tompkins Robotics team member. Our Partners. Search our webpages Search. Menu Search. Schedule, syllabus and examination date Choose semester Spring Spring Spring Spring Learning outcome After completing the course we expect your competence to include the following: understanding of the basic principles of CAD, rapid prototyping and CNC being able to use CAD, rapid prototyping and CNC in practice understanding of the basic principles of robot actuators and how to control them know how to program a microcontroller with interfacing sensors and actuators know how to build, operate and program a simplified CNC milling machine.
Admission Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb. The students will be prioritized as followed: 1 Master students at the Department of Informatics with INF on their approved study plan 2 Master students at the masterprogram Informatics: Nanoelectronics and Robotics 3 Master students at the Department of Informatics 4 Other qualified students.
Teaching 2 hours of lectures per week. Examination Acceptance of project assignments solved individually or in groups of two. Examination support material No examination support material is allowed. Explanations and appeals Explanation of grades and appeals Withdrawal from an examination It is possible to take the exam up to 3 times.
Special examination arrangements Application form, deadline and requirements for special examination arrangements. Evaluation The course is subject to continuous evaluation. Other It is strongly recommended to attend the first lecture since it will be given important information. Teaching language English. Contact Department of Informatics.
Knutepunktet Speak up Registrations, deadlines and student card Special needs and leave of absence Leave of absence and reduced progress Start of studies. Examinations Submissions. Admission Why choose UiO? Contact us Contact UiO. Address University of Oslo P.