Farzad Niroui — accepted AI-conference papers

2025

Versatile Loco-Manipulation through Flexible Interlimb Coordination

Xinghao Zhu, Yuxin Chen, Lingfeng Sun, Farzad Niroui, Simon Le Cleac'h, Jiuguang Wang +1

CoRL 2025oral

The ability to flexibly leverage limbs for loco-manipulation is essential for enabling autonomous robots to operate in unstructured environments. Yet, prior work on loco-manipulation is often constrained to specific tasks or predetermined limb configurations. In this work, we present einforcement Le…

Cited by 0 Source ↗Scholar ↗

2019

Deep Reinforcement Learning Robot for Search and Rescue Applications: Exploration in Unknown Cluttered Environments

Farzad Niroui, Kaicheng Zhang, Zendai Kashino, Goldie Nejat

RA-L 2019

Rescue robots can be used in urban search and rescue (USAR) applications to perform the important task of exploring unknown cluttered environments. Due to the unpredictable nature of these environments, deep learning techniques can be used to perform these tasks. In this letter, we present the first

Cited by 351 Source ↗Scholar ↗