Aly Magassouba
1 indexed paper
Recent (6 mo)
1With code
0Influential cites
0Benchmarked
0Publications per year
126
Top categories
Robotics×1AI×1
Frequent co-authors
Research Timeline
2026
DRL-Based Pose Control for Double-Ackermann Robots Under Actuation Uncertainties
The paper proposes a robust sim-to-sim-to-real DRL approach to enable double-Ackermann robots to achieve full pose control despite significant actuation uncertainties and discrepancies between simulation environments.
Highlighted terms show continued research focus across papers
Papers
cs.ROcs.AIRecentMay 29, 2026
DRL-Based Pose Control for Double-Ackermann Robots Under Actuation Uncertainties
Oussama Zaim, Mélodie Daniel, Aly Magassouba, Miguel Aranda +1 more
The paper proposes a robust sim-to-sim-to-real DRL approach to enable double-Ackermann robots to achieve full pose control despite significant actuation uncertainties and discrepancies between simulat…
View →