activity
20202026
most citedTransformer-based Model Predictive Control: Trajectory Optimization via Sequence Modeling

44 citations · 59 across the 27 of their papers we have counts for

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Showing 2026Show all

9 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…

math.OC2026

PLUTO: An Agentic AI Tool for Interactive Spacecraft Rendezvous Trajectory Design

Eleanor Brosius, Yuji Takubo, Daniele Gammelli +2

Modern space missions require trajectory design methods capable of efficiently adapting to diverse mission objectives and operational constraints. Despite the maturity of non-conve…

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

OrbitTAMP: Grounding Language Models for Task and Motion Planning in Spacecraft Rendezvous

Yuji Takubo, Daniele Gammelli, Marco Pavone +1

Spacecraft rendezvous and proximity operations (RPO) are currently planned through an expertise-intensive process in which engineers translate high-level operational intent into sa…

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…

cs.RO2026

Do Vision-Language-Action Models Mean What They Say? On the Role of Faithfulness in Embodied Reasoning

Matthew Foutter, Matteo Cercola, Lena Wild +4

Embodied Chain-of-Thought has emerged as a promising mechanism to enhance robot decision-making and interpretability in black-box Vision-Language Action (VLA) models. However, whet…

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…

cs.LG2026

Competitive Multi-Operator Reinforcement Learning for Joint Pricing and Fleet Rebalancing in AMoD Systems

Emil Kragh Toft, Carolin Schmidt, Daniele Gammelli +1

Autonomous Mobility-on-Demand (AMoD) systems promise to revolutionize urban transportation by providing affordable on-demand services to meet growing travel demand. However, realis…