Autonomous Systems Lab (ASL)
ASL at ETH Zurich researches legged robots with advanced autonomy for demanding field applications. The lab developed ANYmal and participates in the ARGOS Challenge, focusing on autonomous motion control, perception systems, and path planning for robots in inspection and exploration tasks.
Notable achievements
ANYmal quadruped robot, ARGOS Challenge participation
Notable work
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
An Anti-Y-shaped efficient parking path planning method for restricted areas
Liguo Zang, Liuda Yi, Jiangchao Yuan +2 more
Robotics and Autonomous Systems · 2026
An incremental sampling and segmentation-based approach for motion planning infeasibility
Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto
Robotics and Autonomous Systems · 2026
Constrained motion planning for reduced jerk in robotic additive manufacturing systems
Sean Rescsanski, Suyog Ghungrad, Azadeh Haghighi +2 more
Robotics and Computer-Integrated Manufacturing · 2026
Path planning with isocost contours
Erfan Rasouli, Ahmad Kalhor
Robotics and Autonomous Systems · 2026
A learning-guided approach to enhance inverse kinematics for hyper-redundant manipulators
Hongyang Zhang, Shuting Wang, Yuanlong Xie +4 more
Robotics and Autonomous Systems · 2026
Finite-Time Curvature-Constrained Vector Field for Saturation-Free Motion Planning of Nonholonomic Robots
Zhouru Xiao, Sha Luo, Yang Lu +5 more
2026