Participants

(ordered alphabetically)

• Alejandro Sánchez Roncero — Learning Agile and Robust Quadrotor Behaviors through Multi-Agent Interaction
• Alexander Alexiev — A Composable Framework for Bio-Inspired Anthropomorphic Grasping
• Amit Rogel — Safe and Sound: Music Driven Sonification for Safe and Fluent Human Robot Interaction
• Andrea Testa — Contact Geometry for Generative Models and Real-World Dynamics Learning
• Anton Adelöw — Deep Probabilistic Supervision for Image Classification
• Anton Bredenbeck — Tactile Control of Aerial Robots
• Anxing Xiao — Toward Rational Service Robots for the Open World
• Basant Sharma — Sample-Efficient Risk-Aware Trajectory Optimization Leveraging Maximum Mean Discrepancy
• Buqing Ou — KSOS-BO: Improving Sampling in Bayesian Optimization via Kernel Sum of Squares
• Byeongdo Lim — EquiGraspFlow: SE(3)-Equivariant 6-DoF Grasp Pose Generative Flows
• Carmine Grimaldi — Personalized and Proactive Behaviors for Socially Aware Robots
• Chen Ling — Understanding Human Affective Behaviour  through 3D Representations
• Chenhan Jiang — FreeScale: Scaling 3D Scenes via Certainty-Aware Free-View Generation
• Diego Martinez-Baselga — Bridging Learning and Control for Motion Planning in Dynamic Environments
• Donato Caramia — Towards Occlusion-Aware Bin Picking: Safer, Faster, and More Efficient Grasps through Amodal Object Understanding
• Enrico Donato — Perceive, Predict, Act: Generative World Models for Soft Robots
• Ermanno Bartoli — Human-Centric 4D Scene Graphs
• Franziska Herbert — Learning Semantic–Geometric Task Representations from Human Demonstrations
• Giovanni Minelli — Learning from Acting: Structuring Robots’ Experience to Interact with the World
• Hannah Kühn — Interactive Robot Learning from Non-experts
• Hyun Joe Jeong — Language Steering for VLAs via Interactive Search
• Israfel Salazar — Grounding Vision and Language: Evaluation, Mechanisms, and Real-World Interactions
• Jesper Ericsson — Hierarchical Distillation with Diffusion for Advancing Self-Supervised LiDAR Pre-training
• Joao Miguel Pousa de Moura — Learning Visuotactile Estimation and Control for Non-prehensile Manipulation under Occlusions
• Jonas Frey — Towards Embodied Intelligence:Learning Perception and Navigation
• José Pedro — Direct Visual Localization & Mapping
• Junsu Ha — Behavior-Controllable Stable Dynamics Models on Riemannian Configuration Manifolds
• Katharina Friedl — Learning Dynamical Systems in Robotics: A Differential-Geometric Perspective
• Klas Wijk — Differentiable and Stochastic Top-k
• Lakshadeep Naik — Learning Where to Look and Move for Mobile Manipulation
• Laurence Willemet — Tactile Intelligence for Dexterous Robots and Intuitive Teleoperation
• Leonardo Santos — Increasing transparency of learned preference reward models with human-interpretable concept bottlenecks
• Logan Mondal Bhamidipaty — Imperfect World Models are Exploitable
• Loizos Hadjiloizou — Symmetries Here and There, Combined Everywhere: Cross-space Symmetry Compositions in Robotics
• Luzia Knödler — Control Barrier Functions for Safe Control
• Manthan Patel — Robot Perception and Navigation in the era of Foundation Models
• Marcel Büsching — Neural Rendering for Dynamic Scene Modelling
• Mariano Ramirez Montero — Random Unicycle Network (RUN!): supercharging harmonic oscillator networks via non-holonomic constraints
• Marina Aoyama — Leveraging simulation for generalisable contact-rich skill learning: Task-Informed Exploration Policies
• Massimiliano Nigro — Generating adaptive robot behavior for group robot interaction for well-being
• Merle Reimann — Improving Robot Understandability Through Spoken Capability Communication
• Michele Antonazzi — Domain-Adaptive Visual Foundation Models for Robotic Perception
• Michelle Ho — World Model Failure Classification and Anomaly Detection for Autonomous Inspection
• Nick Heppert — 3D Object-Centric Representations for Visual Spatial Learning
• Nils Dengler — Uncertainty-Driven Learning for Active Perception and Manipulation in Clutter
• Nils Morbitzer — Future Dynamic 3D Reconstruction: A 3D World Model with Disentangled Ego-Motion
• Ola Rønning — Is your SLAM covariance honest?
• Paula Carbó Cubero — Self-supervised Latent Feature Maps for Pose Estimation
• Qingwen Zhang — Temporal Dynamic Modeling of 4D Scenes for Self-supervised Scene Flow
• Quantao Yang — ViSA-Flow: Accelerating Robot Skill Learning via Large-Scale Video Semantic Action Flow
• Rafael Ignacio Cabral Muchacho — PDEs in Robotics – Applications in Control, Planning, and Manipulation
• Rebecka Winqvist — Semi-autonomous Systems under Human Operator Uncertainty
• Riccardo Morandi — Lagrangian Neural Fields for Infinite Dimensional Dynamic Modeling
• Rickard Maus — Latent World Models
• Rickmer Krohn — Multisensory Robot Learning
• Rodrigo Perez Dattari — Robot Learning with Dynamical System Priors
• Romeo Lanzino — Unbound Class-Incremental Learning through Evolving Neural Collapse
• Ruben Janssens — Bringing conversational skills to social robots
• Sara Aldhaheri — Motion planning for underwater mobile manipulation
• Seungyeon Kim — Inductive bias for learning deformable linear object dynamics
• Shaohang Han — Risk-aware control and motion planning for robotics
• Shekhar Devm Upadhyay — Multi-Agent Coordination for Autonomous Underwater Systems
• Simone Arreghini — Toward Socially Acceptable Service Robots in the Wild
• Teng Xue — Bridging Objective to Action: Structured Approximation for Contact-Rich Manipulation
• Theo Wieland — PAWS: A Parametric Model of Canine Shape and Pose
• Tim Lakemann — Reflection-Based Relative Localization for Cooperative UAV Teams Using Active Markers
• Timon Homberger — FUS3DMaps: Scalable and Accurate Open-Vocabulary Semantic Mapping by 3D Fusion of Voxel- and Instance-Level Layers
• Tom Fischer — Learning Generalizable Object Representations for Robotic Perception
• Valter Piedade — Improving Visual Simultaneous Localization and Mapping Through Spatio-Temporal Modeling and Robust Solver Design
• Varun Burde — From Perception to Grasping: Bridging the Gap Between 3D Representation and Robotic Manipulation
• Vladimir Yugay — GaME: Gaussian Mapping for Evolving Scenes
• Wadhah Zai El Amri — Bridging Sensory Gaps: Transferring Tactile Representations Across Robotic Systems
• Wenshuai Zhao — Robot learning with generative models
• William Ahlberg — Human-in-the-Loop Learning for Believable Non-Player Characters
• Xinnuo Xu — Hierarchical ​ Cross-Attention for A Massive, Modular Context​
• Yi Zhao — Dexterous Robotic Piano Playing at Scale
• Yifan Lu — RA-ClipScore: Making Generative Model Evaluation More Interpretable
• Yifei Dong — Toward robotic manipulation under uncertainty: from extrinsic robustness to morphological intelligence
• Yufei Duan — Generative Policies for Robotic Manipulation
• Yuhong Deng — Learning Spatial-Semantic Representations for General-Purpose Manipulation
• Yunfan Gao — Robust Model Predictive Control of Robots in Confined Spaces
• Zhenjun Zhao — Trustworthy 3D Perception: Certifiable Global Optimization for Robotics
• Zhiwei Xue — Control-Ready Uncertainty from Diffusion Models for Robotics
• Ziqi Zhang — Towards Machine Olfaction: Grounding Analytical Chemical Sensing in Perceptual and Semantic Representations