8 accepted papers
Unmanned Aerial Vehicles (UAVs) with limited computational, perception and power resources face significant challenges when navigating autonomously in unfamiliar environments. While artificial intelligence (AI)-assisted algorithms have been used to address these limitations, transparency of the unde…
This study investigates the effectiveness of a passive tightly coupled ultra-wideband (UWB) based inertial navigation system for indoor positioning of mobile platforms. Unlike conventional methods that rely on time difference of arrival (TDOA) or two-way ranging (TWR) measurements, the proposed appr…
This paper presents the design of an Interacting Multiple Model (IMM) filter for improved navigation performance of Micro Aerial Vehicles (MAVs). The paper considers a navigation system that incorporates rotor drag dynamics and proposes a strategy to overcome the sensitivity of the system to externa…
This paper presents the development of a Kalman filter-based range estimation technique to precisely calculate the inter-node ranges of Ultra Wide Band (UWB) modules. Relative clock tracking filters running between every anchor pair tracks relative clock dynamics while estimating the time of flight…
This study performs a nonlinear observability analysis on range assisted inertial navigation system (INS) for quadrotor micro-aerial vehicles (MAV). The INS is formulated incorporating the quadrotor dynamics with aerodynamic drag forces. The observability analysis is carried out for cases where thre…
In this paper, we present an advanced real-time Visual Inertial Navigation System (VINS) based on Multi-State Constraint Kalman Filter (MSCKF). This filter uses Cubature Kalman Filter (CKF) for nonlinear measurement update and Maximum Likelihood Estimate (MLE) to optimize the estimate, which in turn…
In this paper, we introduce a novel approach of reducing the communication load in distributed model predictive control (DMPC) for mobile robots. The key idea is to project the predicted state trajectory onto a grid resulting in an occupancy grid prediction. This approach has the advantage of utiliz…
The main reported solutions for the problem of multi-robot relative localization require synchronous communication between robots, where the network should communicate each time a relative measurement is logged in the team. This paper proposes a localization method, which can accommodate communicati…