239 citations · 1k across the 16 of their papers we have counts for
8 papers · 1 filter
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics
N. Passalis, S. Pedrazzi, R. Babuska +15
Existing Deep Learning (DL) frameworks typically do not provide ready-to-use solutions for robotics, where very specific learning, reasoning, and embodiment problems exist. Their r…
Adaptive Neuro-Fuzzy Control of a Spherical Rolling Robot Using Sliding-Mode-Control-Theory-Based Online Learning Algorithm
Erkan Kayacan, Erdal Kayacan, Herman Ramon +1
As a model is only an abstraction of the real system, unmodeled dynamics, parameter variations, and disturbances can result in poor performance of a conventional controller based o…
Towards Agrobots: Trajectory Control of an Autonomous Tractor Using Type-2 Fuzzy Logic Controllers
Erdal Kayacan, Erkan Kayacan, Herman Ramon +2
Provision of some autonomous functions to an agricultural vehicle would lighten the job of the operator but in doing so, the accuracy should not be lost to still obtain an optimal…
Robust Trajectory Tracking Error Model-Based Predictive Control for Unmanned Ground Vehicles
Erkan Kayacan, Herman Ramon, Wouter Saeys
This paper proposes a new robust trajectory tracking error-based control approach for unmanned ground vehicles. A trajectory tracking error-based model is used to design a linear m…
High Precision Control of Tracked Field Robots in the Presence of Unknown Traction Coefficients
Erkan Kayacan, Sierra N. Young, Joshua M. Peschel +1
Accurate steering through crop rows that avoids crop damage is one of the most important tasks for agricultural robots utilized in various field operations, such as monitoring, mec…
Tracking error learning control for precise mobile robot path tracking in outdoor environment
Erkan Kayacan, Girish Chowdhary
This paper presents a Tracking-Error Learning Control (TELC) algorithm for precise mobile robot path tracking in off-road terrain. In traditional tracking error-based control appro…