4 citations · 8 across the 6 of their papers we have counts for
8 papers · 1 filter
DigiForest: Digital Analytics and Robotics for Sustainable Forestry
Marco Camurri, Enrico Tomelleri, Matías Mattamala +18
Covering one third of Earth's land surface, forests are vital to global biodiversity, climate regulation, and human well-being. In Europe, forests and woodlands reach approximately…
SAHA: Supervised Autonomous HArvester for selective forest thinning
Fang Nan, Meher Malladi, Qingqing Li +7
Forestry plays a vital role in our society, creating significant ecological, economic, and recreational value. Efficient forest management involves labor-intensive and complex oper…
Efficient Model-Based Reinforcement Learning for Robot Control via Online Optimization
Fang Nan, Hao Ma, Qinghua Guan +3
We present an online model-based reinforcement learning algorithm suitable for controlling complex robotic systems directly in the real world. Unlike prevailing sim-to-real pipelin…
Large Scale Robotic Material Handling: Learning, Planning, and Control
Filippo A. Spinelli, Yifan Zhai, Fang Nan +6
Bulk material handling involves the efficient and precise moving of large quantities of materials, a core operation in many industries, including cargo ship unloading, waste sortin…
Reinforcement Learning Control for Autonomous Hydraulic Material Handling Machines with Underactuated Tools
Filippo A. Spinelli, Pascal Egli, Julian Nubert +6
The precise and safe control of heavy material handling machines presents numerous challenges due to the hard-to-model hydraulically actuated joints and the need for collision-free…
Dynamic Throwing with Robotic Material Handling Machines
Lennart Werner, Fang Nan, Pol Eyschen +3
Automation of hydraulic material handling machinery is currently limited to semi-static pick-and-place cycles. Dynamic throwing motions which utilize the passive joints, can greatl…
Motion Primitives Planning For Center-Articulated Vehicles
Jiangpeng Hu, Fan Yang, Fang Nan +1
Autonomous navigation across unstructured terrains, including forests and construction areas, faces unique challenges due to intricate obstacles and the element of the unknown. Lac…
Nonlinear MPC for Quadrotor Fault-Tolerant Control
Fang Nan, Sihao Sun, Philipp Foehn +1
The mechanical simplicity, hover capabilities, and high agility of quadrotors lead to a fast adaption in the industry for inspection, exploration, and urban aerial mobility. On the…