A 3D Reactive Navigation Algorithm for Mobile Robots by Using Tentacle-Based Sampling. - Neset Ünver Akmandor; Taskin Padir (IRC, 2020)

Reactive Navigation Framework for Mobile Robots by Heuristically Evaluated Pre-sampled Trajectories. - Neset Ünver Akmandor; Taskin Padir (CoRR, 2021)

Deep Reinforcement Learning based Robot Navigation in Dynamic Environments using Occupancy Values of Motion Primitives. - Neset Ünver Akmandor; Hongyu Li 003; Gary Lvov; Eric Dusel; Taskin Padir (IROS, 2022)

StereoVoxelNet: Real-Time Obstacle Detection Based on Occupancy Voxels from a Stereo Camera Using Deep Neural Networks. - Hongyu Li 003; Zhengang Li; Neset Ünver Akmandor; Huaizu Jiang; Yanzhi Wang; Taskin Padir (ICRA, 2023)

Re4MPC: Reactive Nonlinear MPC for Multi-model Motion Planning via Deep Reinforcement Learning. - Neset Ünver Akmandor; Sarvesh Prajapati; Mark Zolotas; Taskin Padir (CoRR, 2025)