16 citations · 20 across the 14 of their papers we have counts for
14 papers
Hydra: A Navigation World Action Model with Discrete Latent Planning and Continuous Flow-Matching Execution
Mohammad Nazeri, Alexandyr Card, Samira Huber +6
World models let robots imagine possible futures, but exploiting this capability for real-time planning is bottlenecked by a representation misalignment: generative models and plan…
HumAIN: Human-Aware Implicit Social Robot Navigation
Daeun Song, Nhat Le, Jeffrey Chen +7
Effective social robot navigation requires sensitivity to human behavior, often revealed through subtle skeletal cues like gait and orientation. We present Human-Aware Implicit Soc…
Zero-Shot Adaptation to Robot Structural Damage via Natural Language-Informed Kinodynamics Modeling
Anuj Pokhrel, Aniket Datar, Mohammad Nazeri +2
High-performance autonomous mobile robots endure significant mechanical stress during in-the-wild operations, e.g., driving at high speeds or over rugged terrain. Although these pl…
VertiFormer: A Data-Efficient Multi-Task Transformer for Off-Road Robot Mobility
Mohammad Nazeri, Anuj Pokhrel, Alexandyr Card +3
Sophisticated learning architectures, e.g., Transformers, present a unique opportunity for robots to understand complex vehicle-terrain kinodynamic interactions for off-road mobili…
Social-LLaVA: Enhancing Robot Navigation through Human-Language Reasoning in Social Spaces
Amirreza Payandeh, Daeun Song, Mohammad Nazeri +6
Most existing social robot navigation techniques either leverage hand-crafted rules or human demonstrations to connect robot perception to socially compliant actions. However, ther…
M2P2: A Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions
Aniket Datar, Anuj Pokhrel, Mohammad Nazeri +8
Long-duration, off-road, autonomous missions require robots to continuously perceive their surroundings regardless of the ambient lighting conditions. Most existing autonomy system…
Traverse the Non-Traversable: Estimating Traversability for Wheeled Mobility on Vertically Challenging Terrain
Chenhui Pan, Aniket Datar, Anuj Pokhrel +3
Most traversability estimation techniques divide off-road terrain into traversable (e.g., pavement, gravel, and grass) and non-traversable (e.g., boulders, vegetation, and ditches)…
VertiCoder: Self-Supervised Kinodynamic Representation Learning on Vertically Challenging Terrain
Mohammad Nazeri, Aniket Datar, Anuj Pokhrel +3
We present VertiCoder, a self-supervised representation learning approach for robot mobility on vertically challenging terrain. Using the same pre-training process, VertiCoder can…
Terrain-Attentive Learning for Efficient 6-DoF Kinodynamic Modeling on Vertically Challenging Terrain
Aniket Datar, Chenhui Pan, Mohammad Nazeri +2
Wheeled robots have recently demonstrated superior mechanical capability to traverse vertically challenging terrain (e.g., extremely rugged boulders comparable in size to the vehic…
VANP: Learning Where to See for Navigation with Self-Supervised Vision-Action Pre-Training
Mohammad Nazeri, Junzhe Wang, Amirreza Payandeh +1
Humans excel at efficiently navigating through crowds without collision by focusing on specific visual regions relevant to navigation. However, most robotic visual navigation metho…
CAHSOR: Competence-Aware High-Speed Off-Road Ground Navigation in SE(3)
Anuj Pokhrel, Aniket Datar, Mohammad Nazeri +1
While the workspace of traditional ground vehicles is usually assumed to be in a 2D plane, i.e., SE(2), such an assumption may not hold when they drive at high speeds on unstructur…
A Study on Learning Social Robot Navigation with Multimodal Perception
Bhabaranjan Panigrahi, Amir Hossain Raj, Mohammad Nazeri +1
Autonomous mobile robots need to perceive the environments with their onboard sensors (e.g., LiDARs and RGB cameras) and then make appropriate navigation decisions. In order to nav…
Toward Human-Like Social Robot Navigation: A Large-Scale, Multi-Modal, Social Human Navigation Dataset
Duc M. Nguyen, Mohammad Nazeri, Amirreza Payandeh +2
Humans are well-adept at navigating public spaces shared with others, where current autonomous mobile robots still struggle: while safely and efficiently reaching their goals, huma…
Toward Wheeled Mobility on Vertically Challenging Terrain: Platforms, Datasets, and Algorithms
Aniket Datar, Chenhui Pan, Mohammad Nazeri +1
Most conventional wheeled robots can only move in flat environments and simply divide their planar workspaces into free spaces and obstacles. Deeming obstacles as non-traversable s…