Human machine interaction systems encounters convergence

Human machine interaction systems are those of much needed in the emerging technology to make the user aware of what is happening around. It is huge domain in which the smart material enables the factor of convergence. One such is the piezoelectric crystals, is a class of smart material and this has an incredible property of self-sensing actuation (SSA). This property of SSA has added an indescribable advantage to the robotic field by having the advantages of exhibiting both the functionality of sensing and actuating characteristics with reduced devices, space and power. This paper focuses on integrating the SSA to drive an unmanned ground vehicle with wireless radio control system which will be of great use in all the automation field. The piezo electric plate will be used as an input device to send the signal to move the UGV in certain direction and then, the same piezo-electric plate will be used as an actuator for haptic feedback with the help of drive circuit if obstacles or danger is experienced by UGV.

Robust and Scalable Techniques for TWR and TDoA based localization using Ultra Wide Band Radios

Current trends in autonomous vehicles and their applications indicates an increasing need in positioning at low battery and compute cost. Lidars provide accurate localization at the cost of high compute and power consumption which could be detrimental for drones. Modern requirements for autonomous drones such as No-Permit-No-Takeoff (NPNT) and applications restricting drones to a corridor require the infrastructure to constantly determine the location of the drone. Ultra Wide Band Radios (UWB) fulfill such requirements and offer high precision localization and fast position update rates at a fraction of the cost and battery consumption as compared to lidars and also have greater network availability than GPS in a dense forested campus or an indoor setting. We present in this paper a novel protocol and technique to localize a drone for such applications using a Time Difference of Arrival (TDoA) approach. This further increases the position update rates without sacrificing on accuracy and compare it to traditional methods