33 citations · 128 across the 19 of their papers we have counts for
7 papers · 1 filter
Trajectory Planning and Control for Robotic Magnetic Manipulation
Ogulcan Isitman, Gokhan Alcan, Ville Kyrki
Robotic magnetic manipulation offers a minimally invasive approach to gastrointestinal examinations through capsule endoscopy. However, controlling such systems using external perm…
Data-driven Diffusion Models for Enhancing Safety in Autonomous Vehicle Traffic Simulations
Jinxiong Lu, Shoaib Azam, Gokhan Alcan +1
Safety-critical traffic scenarios are integral to the development and validation of autonomous driving systems. These scenarios provide crucial insights into vehicle responses unde…
Constrained Trajectory Optimization for Hybrid Dynamical Systems
Pietro Noah Crestaz, Gokhan Alcan, Ville Kyrki
Hybrid dynamical systems pose significant challenges for effective planning and control, especially when additional constraints such as obstacle avoidance, state boundaries, and ac…
Learning Transparent Reward Models via Unsupervised Feature Selection
Daulet Baimukashev, Gokhan Alcan, Kevin Sebastian Luck +1
In complex real-world tasks such as robotic manipulation and autonomous driving, collecting expert demonstrations is often more straightforward than specifying precise learning obj…
Automated Feature Selection for Inverse Reinforcement Learning
Daulet Baimukashev, Gokhan Alcan, Ville Kyrki
Inverse reinforcement learning (IRL) is an imitation learning approach to learning reward functions from expert demonstrations. Its use avoids the difficult and tedious procedure o…
The Role of Higher-Order Cognitive Models in Active Learning
Oskar Keurulainen, Gokhan Alcan, Ville Kyrki
Building machines capable of efficiently collaborating with humans has been a longstanding goal in artificial intelligence. Especially in the presence of uncertainties, optimal coo…
Challenges of Data-Driven Simulation of Diverse and Consistent Human Driving Behaviors
Kalle Kujanpää, Daulet Baimukashev, Shibei Zhu +4
Building simulation environments for developing and testing autonomous vehicles necessitates that the simulators accurately model the statistical realism of the real-world environm…