Robohub.org
 

Congratulations to Apellix: 2017 Automate Launch Pad winner


by
11 April 2017



share this:

Apellix worker bee. Source: YouTube

Congratulations to Apellix, the winner of Automate 2017 Startup Launch Pad competition. Also, honorable mention goes to Kinema Systems and Sake Robotics. The Apellix received a $10,000 check sponsored by GE Ventures. The judging panel consisted of Steve Taub, GE Ventures, Oliver Mitchell, Autonomy Ventures, Chris Moehle, Robotics Hub and Melonee Wise, Fetch Robotics.

The field of startups was very strong this year and the 8 finalists represented a broad range of new applications with relevance to industrial robotics, but not exclusively industrial. Silicon Valley Robotics was proud to organize this biannual event with A3 and the Robotics Industry Association.

Oliver Mitchell from Autonomy Ventures has posted a great rundown of the competition and all the finalists at his blog – The Robot Rabbi.

Here’s a short summary of the finalists:

Automate Launch Pad Competition Finalists
Andros Robotics – Enabling low cost collaborative robots, and commoditizing force control expertise in custom motion system development market.  Robots equipped with CFCM-actuators will have truly collaborative qualities, enabling safety and modes of operation like teach-and-replay, thanks to force feedback and high inherent back-drivability.
Apellix – Platform-as-a-Service for industrial workers performing critical but dangerous tasks. The patent-pending Apellix Worker Bee robotics system physically interacts with and modifies its environment to move workers out of harm’s way.
Augmented Pixels – Localization and mapping technology (SLAM SDK) optimized for low CPU usage. The company works on the development of an advanced platform for autonomous navigation for drones and robots in GPS-denied environments.  It also develops a hardware-optimized solution for indoor navigation for mobile phones and AR/VR glasses with low power consumption.
HEBI Robotics – Modular series elastic actuator designed to function as full-featured robotic components. The modules quickly create custom robots of virtually any configuration from wheeled robots to collaborative robotic arms with multi-degrees of freedom.
Kinema Systems – Addresses the depalletizing problem where boxes are picked off a pallet and placed onto a conveyor. The Kinema Pick product combines a custom 3D/2D sensor with 3D vision, deep learning, and motion-planning software to provide an easily configurable solution for end-customers. By design, the Kinema Pick self-learns and does not require extensive individual training before it can start operating.
Robotic Materials – Integrated tactile sensing and robotic manipulation. The patent-pending sensors and control system is the first and only effective tactile sensing solution designed to improve and expand collaborative robot applications. The combination of proximity, contact, and force sensing enables robots to accurately identify, grasp, and manipulate previously unknown parts, such as changing CNC parts in a manufacturing environment without expensive reprogramming.
SAKE Robotics – Robotic grippers that are inexpensive, durable, light weight and very capable for use on service robotics. The core technologies include a tendon-based architecture that is low wear, super strong, and very scalable.
Vention – A machine-design platform, enabling users to build machines from a web-browser in just a few days. The platform is an “AI-enabled” cloud CAD application that integrates an ever-growing library of industrial “Lego-style” modules. Structural, motion, and control parts are fully compatible with one another, saving time typically wasted in compatibility assessment. Upon design completion, users can purchase their design directly from the 3D interface.


tags: ,


Silicon Valley Robotics is an industry association supporting innovation and commercialization of robotics technologies.
Silicon Valley Robotics is an industry association supporting innovation and commercialization of robotics technologies.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Developing active and flexible microrobots

  13 May 2026
This class of robots opens up possibilities for biomedical applications.

How to teach the same skill to different robots

  11 May 2026
A new framework to teach a skill to robots with different mechanical designs, allowing them to carry out the same task without rewriting code for each.

Robot Talk Episode 155 – Making aerial robots smarter, with Melissa Greeff

  08 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Melissa Greeff from Queen's University about autonomous navigation and learning for drones.

New understanding of insect flight points way to stable flapping-wing robots

  07 May 2026
The way bugs and birds flap their wings may look effortless, but the dynamics that keep them aloft are dizzyingly complex and difficult to quantify.

Robotically assembled building blocks could make construction more efficient and sustainable

  05 May 2026
Research suggests constructing a simple building from interlocking subunits should be mechanically feasible and have a much smaller carbon footprint.

Robot Talk Episode 154 – Visual navigation in insects and robots, with Andrew Philippides

  01 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Andrew Philippides from the University of Sussex about what we can learn from ants and bees to improve robot navigation.

Ultralightweight sonar plus AI lets tiny drones navigate like bats

  29 Apr 2026
Researchers develop ultrasound-based perception system inspired by bat echolocation.

Gradient-based planning for world models at longer horizons

  28 Apr 2026
What were the problems that motivated this project and what was the approach to address them?



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence