Reliable, Efficient, & User-Friendly

Software for Autonomous Systems

What Does Team AlgoBotix Develop?

SOFTWARE SOLUTIONS TO AUTOMATE UAV OPERATIONS

Team Ensures That The Solutions Developed At AlgoBotix Are

Efficient

To Ensure Optimal Performance

Reliable

To Ensure a Safe Operation

Compatible

With Every Autonomous System

User-Friendly

So That Anyone Can Use It

Solutions by AlgoBotix

UBIX AUTOMATICA

An on-demand end-to-end solution to the problem of UAV traffic management that helps users plan, reserve & monitor a virtual UAV mobility corridor in the class-G airspace.

Components of Ubix-Stack

Ubix Mission UI

Ubix Server

Ubix UAV Driver

Ubix Control Station

Ubix Mission UI

Ubix Server

Ubix UAV Driver

Ubix Control Station

Features of Ubix Automatica

3-Layred Geofencing

Optimal Corridor

Conflict Resolution

Priority Planning

3-Layred Geofencing

Optimal Corridor

Conflict Resolution

Priority Planning

The problem of road and manned aircraft traffic management has been addressed for decades. However, the problem of managing dense UAV traffic is relatively new and still developing. The present technology for tackling this problem involves exchanging flight data between active UAV operators and Air Traffic Controllers (ATCs). However, it has some disadvantages, including inefficient airspace allocation, uncertain deviations due to wind, communication overhead, and privacy concerns. ‘Ubix Automatica’ addresses the challenge with an efficient and reliable strategy, where each UAV is served with a virtual mobility corridor.

Upon a request raised by a UAV operator, the Ubix Server plans and allocates a conflict-free, path-optimized mobility corridor in the shared airspace. Such mobility corridors are adaptive to environmental changes like any dynamic obstacles and potential in-flight conflicts with other aircraft. The information about allocated corridors is communicated with the Ubix UAV Driver in the form of a keep-in geofence. Upon its successful receipt, the Ubix UAV Driver starts generating the control commands towards the completion of the mission while ensuring the UAV remains well within the safe bounds of the allocated corridor. The developed system also monitors the health and live states of all the UAVs in the airspace. For instance, if any UAV breaches the boundary of its corridor, the system promptly raises an alert and immediately notifies all concerned UAVs operating in the same airspace at that time.

STIGMERGIX

Stigmergix is an add-on module that enables a set of different UAVs to fly collaboratively with a common payload. The module comes with a pre-loaded driver on chip.

Components of Stigmergix

Mission UI

Compute Stack

UAV Drive Module

Ground Control

Mission UI

Compute Stack

UAV Drive Module

Ground Control

Features of Stigmergix

Stable Formation

Optimal Control

Precise Maneuvers

Redundancy

Stable Formation

Optimal Control

Precise Maneuvers

Redundancy & Failsafe

The challenge of transporting heavy payloads can be addressed through two distinct approaches. One approach is to employ a bulky vehicle with heavy payload capabilities, while the other involves a swarm of multiple UAVs collaborating to transport heavy payloads. Since the current UAV industry is more hardware-oriented, most of the current market players are choosing the former solution involving a heavy payload aerial vehicle. However, market trends indicate that the costs of a UAV rise exponentially with its payload capacity, making it a less attractive solution. The solution by AlgoBotix, Stigmergix, enables multiple less expensive UAVs to carry a heavy payload.

Stigmergix is a straightforward plug-and-play module for various models of UAVs available in the market, which enables multiple of them to fly collaboratively with a common payload. Stigmergix ensures a stable UAV formation during the flight with a heavy payload while executing necessary manoeuvers involving changes in swarm configuration, payload orientation, payload delivery on a mobile platform, etc. Heavy wind gust rejection and increased flight endurance during battery failures are some features added to make the swarm safer and more reliable while operating in adverse weather conditions. The proposed solution is more cost-effective compared to the market alternatives.

Funding & Backing

SID, IISC Bangalore

IISc Bangalore

AlgoBotix Team

1706782185955

Onkar Chopra

Co-Founder & CEO, AlgoBotix

MTech (Aerospace Engineering)
Indian Institute of Science, Bangalore

Onkar Chopra is an Engineering graduate from the Department of Aerospace Engineering, Indian Institute of Science, Bangalore. With over nine years in tech development, he excels in autonomous algorithms and their seamless integration with hardware. Besides being a tech expert, Onkar also has some experience with business management, human resources, supply chain, and marketing. He’s led numerous government and industry projects and has six international publications showcasing his expertise.

Debasish Ghose

Debasish Ghose

Co-Founder & Director, AlgoBotix

Professor (Aerospace Engineering)
Indian Institute of Science, Bangalore

Debasish Ghose, a professor at the Department of Aerospace Engineering, boasts over 30 years at the Indian Institute of Science, Bengaluru. With expertise in deep tech development, he led numerous projects funded by several academic and industrial organizations, including IISc, ISRO, DRDO, TCS, Intel, Robert Bosch, etc. Formerly the Chairman of the Department of Aerospace Engineering, he holds a record of 366 international publications, is a Senior Fellow of the Indian National Academy of Engineering, and is recognized among the top two per cent of global scientists.

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62/1, New No 1, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore- 560032, Karnataka
team@algobotix.com