Didem Gurdur Broo Judges the Honda Mobilityland Youth Innovation Awards at the F1 Japanese Grand Prix

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We're thrilled to share that our lab director, Dr. Didem Gürdür Broo, attended the 2026 Formula 1 Japanese Grand Prix at the iconic Suzuka Circuit as one of the judges of the Honda Mobilityland Youth Innovation Awards 2026 — an exciting international student innovation competition organized by Honda Mobilityland Corporation.

🎬Video: Watch the video on X
📌Venue: Suzuka Circuit, Japan, 2026

Our Lab Director Featured in UppTalk: Multi-Robot Collaboration and Bio-Inspired Systems

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We're excited to share that our lab director, Dr. Didem Gürdür Broo, was recently featured in Uppsala University's UppTalk series – a popular science seminar that makes cutting-edge research accessible to alumni and the general public. The 32-minute conversation, hosted by Anneli Björkman offered fascinating insights into our lab's work on multi-robot systems and the future of human-robot collaboration.

🎬Video: Watch the video on YouTube
📌Venue: Blåsenhus, Uppsala, SE, 2025

Our experience at the SciFest 2025 in Uppsala

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Dive into our experience of how it was for us to participate in such a STEM festival and get to know what we prepared for the participants.

📌Venue: Fyrishov Hall D, Uppsala, SE, 2025

Integrating Systems, Design, and Futuristic Thinking (ICIET 2025)

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We're thrilled to share some exciting news from the CPS-Lab! Our paper "Integrating Systems, Design, and Futuristic Thinking for Sustainable Complex Systems Design" has been recognised with the Best Paper Award and Best Presentation at the 13th International Conference on Information and Education Technology (ICIET), Fukuyama, Japan.

🪧Paper: Integrating Systems, Design, and Futuristic Thinking for Sustainable Complex Systems Design
📌Venue: 13th International Conference on Information and Education Technology (ICIET), Fukuyama, JP, 2025

Crowdsourcing eHMI Designs (RO-MAN 2025)

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We recently explored how crowdsourcing platforms can be used to design external Human–Machine Interfaces (eHMIs) for autonomous vehicles (AVs). These interfaces are key for helping AVs communicate clearly with pedestrians.

🪧Paper: Crowdsourcing eHMI Designs: A Participatory Approach to Autonomous Vehicle-Pedestrian Communication
📌Venue: 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Eindhoven, NL, 2025

Enabling Symbiosis in Multi-Robot Systems via MARL (ICPS 2025)

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We present a CTDE value-decomposition MARL scheme that shares only battery state to induce symbiotic coordination in warehouse robots. In long-horizon delivery with charger contention, it cuts completion time by about 10.7% and reduces task and energy imbalance by about 13.8% compared with non-symbiotic baselines.

🪧Paper: Enabling Symbiosis in Multi-Robot Systems Through Multi-Agent Reinforcement Learning
📌Venue: 8th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), Emden, Germany, 2025

Investigating Symbiosis in Robotic Ecosystems (ICRAS 2025)

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We introduce a symbiosis-guided reward shaping approach for MARL in heterogeneous multi-robot systems. On
high-dimensional tasks (ShadowHand object passing, mobile manipulation), mutualistic rewards improve training stability and reduce variance compared with standard rewards.

🪧Paper: Investigating Symbiosis in Robotic Ecosystems: A Case Study for Multi-Robot Reinforcement Learning Reward Shaping
📌Venue: 9th International Conference on Robotics and Automation Sciences (ICRAS), Osaka, Japan, 2025
💻Code: RewMARL

Optimal Gait Control for a Tendon-driven Soft Quadruped Robot (ICRA 2025)

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We first learn a DNN surrogate of the robot’s dynamics from Simscape trajectories, then train SAC on the surrogate for speed, and finally run post-training on Simscape to close the sim-to-real gap. A parametric gait space (trot) and an inverse-kinematics mapping reduce actions from 12 motor commands to 4 gait parameters per step, cutting exploration of infeasible motions.

🪧Paper: Optimal Gait Control for a Tendon-Driven Soft Quadruped Robot by Model-Based Reinforcement Learning
📌Venue: IEEE International Conference on Robotics and Automation (ICRA), Atlanta, USA, 2025
💻Code: KTH-MasterThesis