Mohammad Nazeri

According to our database, Mohammad Nazeri authored at least 17 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Zero-Shot Adaptation to Robot Structural Damage via Natural Language-Informed Kinodynamics Modeling.

Anuj Pokhrel, Aniket Datar, Mohammad Nazeri, Francesco Cancelliere, Xuesu Xiao

CoRR, February, 2026

2025

RAISE: A self-driving laboratory for interfacial property formulation discovery.

Mohammad Nazeri, Sheldon Mei, Jeffrey Watchorn, Alex Zhang, Erin Ng, Tao Wen, Abhijoy Mandal, Kevin Golovin, Alán Aspuru-Guzik, Frank Gu

CoRR, October, 2025

VertiFormer: A Data-Efficient Multi-Task Transformer for Off-Road Robot Mobility.

Mohammad Nazeri, Anuj Pokhrel, Alexandyr Card, Aniket Datar, Garrett Warnell, Xuesu Xiao

CoRR, February, 2025

Social-LLaVA: Enhancing Robot Navigation through Human-Language Reasoning in Social Spaces.

Amirreza Payandeh, Daeun Song, Mohammad Nazeri, Jing Liang, Praneel Mukherjee, Amir Hossain Raj, Yangzhe Kong, Dinesh Manocha, Xuesu Xiao

CoRR, January, 2025

Social-LLaVA: Enhancing Social Robot Navigation through Human-Language Reasoning.

Amirreza Payandeh, Daeun Song, Mohammad Nazeri, Jing Liang, Praneel Mukherjee, Amir Hossain Raj, Yangzhe Kong, Dinesh Manocha, Xuesu Xiao

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

M2P2: A Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions.

Aniket Datar, Anuj Pokhrel, Mohammad Nazeri, Madhan B. Rao, Harsh Rangwala, Chenhui Pan, Yufan Zhang, Andre Harrison, Maggie B. Wigness, Philip R. Osteen, Jinwei Ye, Xuesu Xiao

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

VertiCoder: Self-Supervised Kinodynamic Representation Learning on Vertically Challenging Terrain.

Mohammad Nazeri, Aniket Datar, Anuj Pokhrel, Chenhui Pan, Garrett Warnell, Xuesu Xiao

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

CAHSOR: Competence-Aware High-Speed Off-Road Ground Navigation in $\mathbb {SE}(3)$.

Anuj Pokhrel, Mohammad Nazeri, Aniket Datar, Xuesu Xiao

IEEE Robotics Autom. Lett., November, 2024

M2P2: A Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions.

Aniket Datar, Anuj Pokhrel, Mohammad Nazeri, Madhan B. Rao, Chenhui Pan, Yufan Zhang, Andre Harrison, Maggie B. Wigness, Philip R. Osteen, Jinwei Ye, Xuesu Xiao

CoRR, 2024

Traverse the Non-Traversable: Estimating Traversability for Wheeled Mobility on Vertically Challenging Terrain.

Chenhui Pan, Aniket Datar, Anuj Pokhrel, Matthew Choulas, Mohammad Nazeri, Xuesu Xiao

CoRR, 2024

VertiEncoder: Self-Supervised Kinodynamic Representation Learning on Vertically Challenging Terrain.

Mohammad Nazeri, Aniket Datar, Anuj Pokhrel, Chenhui Pan, Garrett Warnell, Xuesu Xiao

CoRR, 2024

CAHSOR: Competence-Aware High-Speed Off-Road Ground Navigation in SE(3).

Anuj Pokhrel, Aniket Datar, Mohammad Nazeri, Xuesu Xiao

CoRR, 2024

VANP: Learning Where to See for Navigation with Self-Supervised Vision-Action Pre-Training.

Mohammad Nazeri, Junzhe Wang, Amirreza Payandeh, Xuesu Xiao

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Terrain-Attentive Learning for Efficient 6-DoF Kinodynamic Modeling on Vertically Challenging Terrain.

Aniket Datar, Chenhui Pan, Mohammad Nazeri, Anuj Pokhrel, Xuesu Xiao

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Toward Wheeled Mobility on Vertically Challenging Terrain: Platforms, Datasets, and Algorithms.

Aniket Datar, Chenhui Pan, Mohammad Nazeri, Xuesu Xiao

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

A Study on Learning Social Robot Navigation with Multimodal Perception.

Bhabaranjan Panigrahi, Amir Hossain Raj, Mohammad Nazeri, Xuesu Xiao

CoRR, 2023

Toward Human-Like Social Robot Navigation: A Large-Scale, Multi-Modal, Social Human Navigation Dataset.

Duc M. Nguyen, Mohammad Nazeri, Amirreza Payandeh, Aniket Datar, Xuesu Xiao

IROS, 2023