Seyed Mahdi B. Azad — accepted AI-conference papers

2024

Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots

Shamil Mamedov, Rudolf Reiter, Seyed Mahdi B. Azad, Ruan Viljoen, Joschka Boedecker, Moritz Diehl +1

IROS 2024poster

Flexible robots may overcome some of the industry’s major challenges, such as enabling intrinsically safe human-robot collaboration and achieving a higher payload-to-mass ratio. However, controlling flexible robots is complicated due to their complex dynamics, which include oscillatory behavior and…

Cited by 2 Source ↗code ↗Scholar ↗

2022

T3VIP: Transformation-based $3\mathrm{D}$ Video Prediction

Iman Nematollahi, Erick Rosete-Beas, Seyed Mahdi B. Azad, Raghu Rajan, Frank Hutter, Wolfram Burgard

IROS 2022poster

For autonomous skill acquisition, robots have to learn about the physical rules governing the 3D world dynamics from their own past experience to predict and reason about plausible future outcomes. To this end, we propose a transformation-based 3D video prediction (T3VIP) approach that explicitly mo…

Cited by 0 Source ↗Scholar ↗

2022

T3VIP: Transformation-based 3D Video Prediction

Iman Nematollahi, Erick Rosete-Beas, Seyed Mahdi B. Azad, Raghu Rajan, Frank Hutter, Wolfram Burgard

IROS 2022

For autonomous skill acquisition, robots have to learn about the physical rules governing the 3D world dynamics from their own past experience to predict and reason about plausible future outcomes. To this end, we propose a transformation-based 3D video prediction (T3VIP) approach that explicitly mo

Cited by 1 Source ↗code ↗Scholar ↗