Resources
Media
Publications
Coming soon.
- A Novel Safety-Aware Energy Tank Formulation Based on Control Barrier Functions
- A Passivity-Based Variable Impedance Controller for Incremental Learning of Periodic Interactive Tasks
- A unified formulation of geometry-aware discrete dynamic movement primitives
- Assessing Human Factors in Virtual Reality Environments for Industry 5.0: A Comprehensive Review of Factors, Metrics, Techniques, and Future Opportunities
- Bidirectional Progressive Neural Networks With Episodic Return Progress for Emergent Task Sequencing and Robotic Skill Transfer
- Collaborative Synergy in Industry: Exploring Human-Robot Interaction and Cognitive Robotics
- Conditional Neural Expert Processes for Learning Movement Primitives from Demonstration
- Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning
- Discovering Predictive Relational Object Symbols With Symbolic Attentive Layers
- Guiding real-world reinforcement learning for in-contact manipulation tasks with Shared Control Templates
- Know your limits! Optimize the robot’s behavior through self-awareness
- Learning periodic skills for robotic manipulation: Insights on orientation and impedance
- Multi-Object Graph Affordance Network: Goal-Oriented Planning through Learned Compound Object Affordances
- Programming of Skill-Based Robots
- Receding-Constraint Model Predictive Control using a Learned Approximate Control-Invariant Set
- Robotics goes PRISMA
- Safe Execution of Learned Orientation Skills with Conic Control Barrier Functions
- Static anti-windup with shifted equilibria applied to a Segway-like vehicle
- Symbolic Manipulation Planning with Discovered Object and Relational Predicates
- Unsupervised Meta-Testing With Conditional Neural Processes for Hybrid Meta-Reinforcement Learning
- When Prolog Meets Generative Models a New Approach for Managing Knowledge and Planning in Robotic Applications