3 papers
cs.RO2025
Re4MPC: Reactive Nonlinear MPC for Multi-model Motion Planning via Deep Reinforcement Learning
Neşet Ünver Akmandor, Sarvesh Prajapati, Mark Zolotas +1
Traditional motion planning methods for robots with many degrees-of-freedom, such as mobile manipulators, are often computationally prohibitive for real-world settings. In this pap…
cs.RO2021
Reactive Navigation Framework for Mobile Robots by Heuristically Evaluated Pre-sampled Trajectories
Neşet Ünver Akmandor, Taşkın Padır
This paper describes and analyzes a reactive navigation framework for mobile robots in unknown environments. The approach does not rely on a global map and only considers the local…
cs.RO2020
A 3D Reactive Navigation Algorithm for Mobile Robots by Using Tentacle-Based Sampling
Neşet Ünver Akmandor, Taşkın Padır
This paper introduces a reactive navigation framework for mobile robots in 3-dimensional (3D) space. The proposed approach does not rely on the global map information and achieves…