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20152026
most citedModel Predictive Control of Autonomous Mobility-on-Demand Systems

156 citations · 203 across the 12 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.RO2026

GGraph: A GPU-Accelerated Library for Graph-Based Robot Deployment and Learning

Yash Rampuria, Rohan Garg, Daniele Gammelli +1

Autonomous mobile robots require spatial representations that capture geometry and semantics while staying sparse enough for planning in large, unknown environments. Graphs provide…

cs.RO2026

Filter-Aware Fine-Tuning for Safe Humanoid Whole-Body Tracking

Pranit Mohnot, Christian Helten, Daniele Gammelli +1

Safe whole-body motion is essential for deploying humanoid robots in unstructured environments. Modern humanoid control commonly separates reference specification from execution, w…

cs.RO2026

Principles of Robot Autonomy

Daniele Gammelli, Joseph Lorenzetti, Katie Luo +2

Autonomous robots are moving rapidly from research labs into everyday life - on roads, in the air, in warehouses, and in space. Robot autonomy is no longer solely an academic pursu…

math.OC2026

Semantic Constraint Synthesis for Adaptive Trajectory Optimization via Large Language Models

Eleanor Brosius, Yuji Takubo, Daniele Gammelli +2

Trajectory optimization is a critical component for enabling safe and reliable autonomous operations in space exploration. As space missions increase in frequency, complexity, and…

cs.RO2026

Graph Neural Model Predictive Control for High-Dimensional Systems

Patrick Benito Eberhard, Luis Pabon, Daniele Gammelli +5

The control of high-dimensional systems, such as soft robots, requires models that faithfully capture complex dynamics while remaining computationally tractable. This work presents…