Recorded live at the European Robotics Forum 2026 in Stavanger, this special episode of Among Us: Human–Robot Teaming takes you inside one of Europe’s most important robotics gatherings—through conversations, demos, and cutting-edge research.

This is not theory. This is what robotics actually looks like today.

🎤 Who You’ll Hear in This Episode🔹 Opening Perspective: The Vision Behind ERF

We start with Nabil Belbachir, organizer of ERF, discussing:

1. The strategic direction of robotics in Europe
2. Where industry and research are actually converging
3. Why events like ERF matter beyond networking

🔹 Bio-Inspired Flight & Flapping Drones

Next, a fascinating discussion with Matěj Karásek from Flapper Drones:

1. How flapping-wing drones differ from traditional UAVs
2. The role of bio-inspired design in robotics
3. Real-world applications where conventional drones fail

🔹 Precision Haptics & Human Interaction

We then speak with Marco Aggravi, Project Manager and R&D Engineer at Haption:

1. High-fidelity force feedback systems
2. The role of haptics in teleoperation and training
3. Why touch is still the missing piece in many robotic systems

🔹 Live Demo: Immersive Interaction with SenseGlove

A hands-on demo with SenseGlove showcases:

1. Real-time haptic feedback in virtual and robotic environments
2. Applications in training, simulation, and remote manipulation
3. The transition from demo tech → deployable systems

🔹 Research Spotlight: Human Trajectory Prediction

The episode concludes with a presentation of the paper:

“Transformer-Based Human Trajectory Prediction in Manufacturing Settings”

Authored by:

1. Even Langås
2. Atle Aalerud
3. Daniel Hagen
4. Filippo Sanfilippo

Key ideas explored:

1. Predicting human motion in industrial environments
2. Using transformer architectures for temporal modeling
3. Improving safety and fluency in human–robot collaboration

🧠 What Connects All of This?

At first glance, these look like separate topics:

1. Event organization
2. Bio-inspired drones
3. Haptics
4. Wearable interfaces
5. AI-based trajectory prediction

They’re not.

They all point toward one thing:

👉 Robots that understand, adapt, and physically interact with humans in real environments

⚙️ The Real Insight (No Sugarcoating)

Most robotics systems today:

1. Perceive poorly
2. Predict weakly
3. Interact unnaturally

This episode shows what it takes to fix that:

1. Better sensing (event cameras, multimodal systems)
2. Better prediction (transformers, temporal models)
3. Better interaction (haptics, wearable feedback)

🎯 Who This Episode Is For

1. Robotics researchers and PhD students
2. Engineers working on HRI/HRC systems
3. Anyone serious about moving from demos → deployable systems

🚀 Final Takeaway

If you want real human–robot teaming, you need to combine:

1. Perception + Prediction + Physical Interaction

Miss one—and your system breaks in the real world.