Poster Session 1
- 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
- Anton Bredenbeck — Tactile Control of Aerial Robots
- 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
- Donato Caramia — Towards Occlusion-Aware Bin Picking: Safer, Faster, and More Efficient Grasps through Amodal Object Understanding
- Franziska Herbert — Learning Semantic–Geometric Task Representations from Human Demonstrations
- Hannah Kühn — Interactive Robot Learning from Non-experts
- Jonas Frey — Towards Embodied Intelligence:Learning Perception and Navigation
- Klas Wijk — Differentiable and Stochastic Top-k
- Logan Mondal Bhamidipaty — Imperfect World Models are Exploitable
- Mariano Ramirez Montero — Random Unicycle Network (RUN!): supercharging harmonic oscillator networks via non-holonomic constraints
- 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
- 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
- Rafael Ignacio Cabral Muchacho — PDEs in Robotics – Applications in Control, Planning, and Manipulation
- Rebecka Winqvist — Semi-autonomous Systems under Human Operator Uncertainty
- Rickard Maus — Latent World Models
- Sai Krishna Ghanta — Spatial Intelligence Models for Robotics and Environmental Reasoning
- Sara Aldhaheri — Motion planning for underwater mobile manipulation
- Tom Fischer — Learning Generalizable Object Representations for Robotic Perception
- Wadhah Zai El Amri — Bridging Sensory Gaps: Transferring Tactile Representations Across Robotic Systems
- Xinnuo Xu — Hierarchical Cross-Attention for A Massive, Modular Context
- Zhiwei Xue — Control-Ready Uncertainty from Diffusion Models for Robotics
Poster Session 2
- Alejandro Sánchez Roncero — Learning Agile and Robust Quadrotor Behaviors through Multi-Agent Interaction
- Anton Adelöw — Deep Probabilistic Supervision for Image Classification
- Carmine Grimaldi — Personalized and Proactive Behaviors for Socially Aware Robots
- 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
- Ermanno Bartoli — Human-Centric 4D Scene Graphs
- 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
- Junsu Ha — Behavior-Controllable Stable Dynamics Models on Riemannian Configuration Manifolds
- Lakshadeep Naik — Learning Where to Look and Move for Mobile Manipulation
- Laurence Willemet — Tactile Intelligence for Dexterous Robots and Intuitive Teleoperation
- Loizos Hadjiloizou — Symmetries Here and There, Combined Everywhere: Cross-space Symmetry Compositions in Robotics
- Manthan Patel — Robot Perception and Navigation in the era of Foundation Models
- Nick Heppert — 3D Object-Centric Representations for Visual Spatial Learning
- Nils Dengler — Uncertainty-Driven Learning for Active Perception and Manipulation in Clutter
- Romeo Lanzino — Unbound Class-Incremental Learning through Evolving Neural Collapse
- 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
- Valter Piedade — Improving Visual Simultaneous Localization and Mapping Through Spatio-Temporal Modeling and Robust Solver Design
- William Ahlberg — Human-in-the-Loop Learning for Believable Non-Player Characters
- Yi Zhao — Dexterous Robotic Piano Playing at Scale
- Yufei Duan — Generative Policies for Robotic Manipulation
- Yunfan Gao — Robust Model Predictive Control of Robots in Confined Spaces
- Zhenjun Zhao — Trustworthy 3D Perception: Certifiable Global Optimization for Robotics
- Ziqi Zhang — Towards Machine Olfaction: Grounding Analytical Chemical Sensing in Perceptual and Semantic Representations
Poster Session 3
- Andrea Testa — Contact Geometry for Generative Models and Real-World Dynamics Learning
- Anxing Xiao — Toward Rational Service Robots for the Open World
- Basant Sharma — Sample-Efficient Risk-Aware Trajectory Optimization Leveraging Maximum Mean Discrepancy
- Chen Ling — Understanding Human Affective Behaviour through 3D Representations
- Enrico Donato — Perceive, Predict, Act: Generative World Models for Soft Robots
- Giovanni Minelli — Learning from Acting: Structuring Robots’ Experience to Interact with the World
- Joao Miguel Pousa de Moura — Learning Visuotactile Estimation and Control for Non-prehensile Manipulation under Occlusions
- José Pedro — Direct Visual Localization & Mapping
- Leonardo Santos — Increasing transparency of learned preference reward models with human-interpretable concept bottlenecks
- Luzia Knödler — Control Barrier Functions for Safe Control
- Marcel Büsching — Neural Rendering for Dynamic Scene Modelling
- Marina Aoyama — Leveraging simulation for generalisable contact-rich skill learning: Task-Informed Exploration Policies
- Michelle Ho — World Model Failure Classification and Anomaly Detection for Autonomous Inspection
- 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
- Riccardo Morandi — Lagrangian Neural Fields for Infinite Dimensional Dynamic Modeling
- Rickmer Krohn — Multisensory Robot Learning
- Rodrigo Perez Dattari — Robot Learning with Dynamical System Priors
- Ruben Janssens — Bringing conversational skills to social robots
- 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
- Varun Burde — From Perception to Grasping: Bridging the Gap Between 3D Representation and Robotic Manipulation
- Vladimir Yugay — GaME: Gaussian Mapping for Evolving Scenes
- Wenshuai Zhao — Robot learning with generative models
- Yifan Lu — RA-ClipScore: Making Generative Model Evaluation More Interpretable
- Yifei Dong — Toward robotic manipulation under uncertainty: from extrinsic robustness to morphological intelligence
- Yuhong Deng — Learning Spatial-Semantic Representations for General-Purpose Manipulation
RPL Summer School 2026 