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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13 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

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…

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.RO2025

Language-Conditioned Safe Trajectory Generation for Spacecraft Rendezvous

Yuji Takubo, Arpit Dwivedi, Sukeerth Ramkumar +4

Reliable real-time trajectory generation is essential for future autonomous spacecraft. While recent progress in nonconvex guidance and control is paving the way for onboard autono…

cs.RO2025★ 1 cited

GRAND: Guidance, Rebalancing, and Assignment for Networked Dispatch in Multi-Agent Path Finding

Johannes Gaber, Meshal Alharbi, Daniele Gammelli +1

Large robot fleets are now common in warehouses and other logistics settings, where small control gains translate into large operational impacts. In this article, we address task s…

cs.RO2025

Reproducibility in the Control of Autonomous Mobility-on-Demand Systems

Xinling Li, Meshal Alharbi, Daniele Gammelli +7

Autonomous Mobility-on-Demand (AMoD) systems, powered by advances in robotics, control, and Machine Learning (ML), offer a promising paradigm for future urban transportation. AMoD…

cs.RO2024★ 44 cited

Transformer-based Model Predictive Control: Trajectory Optimization via Sequence Modeling

Davide Celestini, Daniele Gammelli, Tommaso Guffanti +3

Model predictive control (MPC) has established itself as the primary methodology for constrained control, enabling general-purpose robot autonomy in diverse real-world scenarios. H…

cs.RO2024

Generalizable Spacecraft Trajectory Generation via Multimodal Learning with Transformers

Davide Celestini, Amirhossein Afsharrad, Daniele Gammelli +6

Effective trajectory generation is essential for reliable on-board spacecraft autonomy. Among other approaches, learning-based warm-starting represents an appealing paradigm for so…

cs.RO2024★ 2 cited

Space-LLaVA: a Vision-Language Model Adapted to Extraterrestrial Applications

Matthew Foutter, Daniele Gammelli, Justin Kruger +5

Foundation Models (FMs), e.g., large language models, possess attributes of intelligence which offer promise to endow a robot with the contextual understanding necessary to navigat…

cs.RO2023

Transformers for Trajectory Optimization with Application to Spacecraft Rendezvous

Tommaso Guffanti, Daniele Gammelli, Simone D'Amico +1

Reliable and efficient trajectory optimization methods are a fundamental need for autonomous dynamical systems, effectively enabling applications including rocket landing, hyperson…