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Rightbot

Rightbot provides an AI-driven robotic solution called Wolverine for automated trailer unloading. This system handles a wide variety of package shapes, sizes, and weights at high throughput rates. The technology integrates easily into existing dock infrastructure to improve efficiency in sortation, cross-dock, and fulfillment centers.

East New York, United StatesFounded 20201810K+ followers
Updated 20 months ago

Funding

$6.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

AIEFFLJ
Funding rounds are not available yet.

Founders

Product

Problem

The manual unloading of trucks and containers is a labor-intensive and time-consuming process, especially when dealing with unstructured loads consisting of mixed-size boxes, bags, and other items. This inefficiency leads to increased operational costs, slower throughput, and potential bottlenecks in the supply chain.

Solution

Rightbot provides an AI-powered robotic system designed to automate the unloading of floor-loaded goods from trucks and containers. The system utilizes a robotic arm with a suction-based gripper and advanced computer vision to handle a wide variety of goods, including boxes, pouches, tires, and bags, regardless of stacking variability. This solution enables facilities to achieve high throughput without requiring changes to existing dock infrastructure, offering a plug-and-play deployment that reduces labor costs and improves overall operational efficiency. The robot's autonomous mobility and safety systems allow it to work alongside human operators in logistics and warehousing environments.

Target Audience

The primary target audience includes e-commerce companies, retailers, and logistics providers seeking to automate and optimize their truck and container unloading processes to reduce labor costs and increase throughput.

Features

  • AI-driven robotic arm with a suction gripper for handling a variety of goods
  • Computer vision system trained on warehouse footage for package recognition and placement
  • Autonomous mobility for unloading and movement across docks
  • High throughput, capable of over 5,000 unloads per hour
  • Compatible with existing dock infrastructure, including telescopic or flex conveyors and pallets
  • Best-in-class safety systems for seamless integration with human workers
  • Option for Robotics-as-a-Service (RaaS)
This profile is AI-generated and may contain inaccuracies.