![]() When I was in college, my roommate (now business partner) and I spent our time designing and building drones and other fun technologies. I rarely went to school – I had a lot more fun collaborating virtually with groups of developers and building awesome tools. I taught myself to program when I was around ten and used that to design and program aircraft for flight simulators. I’ve loved aviation and technology ever since I could remember. Thanks for taking the time to share your story with us – to start maybe you can share some of your backstory with our readers? ![]() Hi Naru, it’s an honor to have you on the platform. Below is a publication on the designed omnidirectional controller for spherical robots.Today we’d like to introduce you to Naru Muraleedharan. Such a controller was developed and the results were presented at the IEEE 2016 Southeast Conference in Norfolk, Virginia. This research focuses on developing a control system that allows for omnidirectional movement. However, such a system does not allow for omnidirectional locomotion - which is one of the most attractive features of a spherical robot. In the past, companies have used a drive-and-steer system with the internal pendulum. One of the simplest methods for locomotion is using a weighted pendulum. These include a weighted pendulum, internal drive (like a hamster ball), control moment gyroscopes, and momentum wheels. Spherical robots have used various different methods of locomotion. Spherical robots have been tested in the past for exploration and locomotion in uneven terrain. However, differential drive robots are not favorable for exploration in rough terrain due to the possibility for wheels to get stuck in harsh environments. Generally, mobile robots use differential drive for locomotion. Following are a few of the publications that resulted from this research venture. This research proposes a gravity compensated force-feedback control method and a center of mass regulator that allows for the emulation of a free-floating environment with minimal (for spatial) or no (for planar) knowledge of the system model or dynamic parameters. Generally, Hardware in the Loop (HITL) simulation is used, however accurate knowledge of the system model and dynamic parameters is necessary for such a simulation. Complex dynamic coupling between the satellite bodies and robotic manipulators on space robots make it very difficult to accurately emulate movement of the robot. Testing these systems on Earth saves companies and space agencies billions of dollars in failed launches. The system allows for testing of orbital control systems, attitude systems, camera systems, docking procedures, and other sub-systems. Such an emulated environment can be used for extensive testing of space robots on Earth prior to launch. The research is focused on using model-free or model-minimalistic methods to emulate a free-floating environment using a robotic platform. Below are the manuscripts.Ī lot of sponsored research has been conducted in the field of space robotics by Narendran Muraleedharan (Naru) - a founder and core developer at Aptus. ![]() This is a revolutionary tool for the medical industry, and we are working closely with Multus to make sure as many get the benefit of this as soon as possible! We have submitted (currently in editorial process) a few of these studies to the International Journal of Spine Surgery. We were able to show that the AI radiology bot performed on par and sometimes even better than radiologists. In partnership with Multus and the Center for Advanced Spine Care of Southern Arizona in Tucson, we conducted feasibility and reliability studies on the AI we developed against surgical outcomes and human board-certified radiologist reads. Below is a very high level diagram showing this. It then generates a radiology report comparable to those generated by radiologists. The software takes in slices of MRI images in series in DICOM format, performs 3D segmentation of the patient's spine to identify anatomy - discs, spinal cord, etc., crops regions of interest for each disc and runs them through AI detectors to identify pathologies and abnormalities. These include central canal stenosis, foraminal stenosis, abnormalities to the lordotic curvature, etc. This software takes in Magnetic Resonance Imaging (MRI) scans of patient's spine, and generates a radiology report that indicates abnormalities and pathologies it identified in the spine. A portion of the work we did for Multus included the development of Artificial Intelligence (AI) radiology software. We developed all operational technology and software for Multus. Aptus is a partner in Multus Medical - a medical technology company that develops 3D renderings of patient-specific anatomy based on MRI scans.
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