Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Muelling, Katharina"'
A safe and robust on-road navigation system is a crucial component of achieving fully automated vehicles. NVIDIA recently proposed an End-to-End algorithm that can directly learn steering commands from raw pixels of a front camera by using one convol
Externí odkaz:
http://arxiv.org/abs/1812.07760
We propose an exploration method that incorporates look-ahead search over basic learnt skills and their dynamics, and use it for reinforcement learning (RL) of manipulation policies . Our skills are multi-goal policies learned in isolation in simpler
Externí odkaz:
http://arxiv.org/abs/1811.08086
We explore the problem of learning to decompose spatial tasks into segments, as exemplified by the problem of a painting robot covering a large object. Inspired by the ability of classical decision tree algorithms to construct structured partitions o
Externí odkaz:
http://arxiv.org/abs/1806.07822
We present an interactive, computational design system for creating custom robotic arms given high-level task descriptions and environmental constraints. Various task requirements can be encoded as desired motion trajectories for the robot arm's end-
Externí odkaz:
http://arxiv.org/abs/1806.07419
Robots that navigate through human crowds need to be able to plan safe, efficient, and human predictable trajectories. This is a particularly challenging problem as it requires the robot to predict future human trajectories within a crowd where every
Externí odkaz:
http://arxiv.org/abs/1710.04689
For robots to be a part of our daily life, they need to be able to navigate among crowds not only safely but also in a socially compliant fashion. This is a challenging problem because humans tend to navigate by implicitly cooperating with one anothe
Externí odkaz:
http://arxiv.org/abs/1705.06201
Path planning in the presence of dynamic obstacles is a challenging problem due to the added time dimension in search space. In approaches that ignore the time dimension and treat dynamic obstacles as static, frequent re-planning is unavoidable as th
Externí odkaz:
http://arxiv.org/abs/1605.06853
Autor:
Muelling, Katharina
Most tasks that humans need to accomplished in their everyday life require certain motor skills. Although most motor skills seem to rely on the same elementary movements, humans are able to accomplish many different tasks. Robots, on the other hand,
Autor:
Muelling, Katharina, Venkatraman, Arun, Valois, Jean-Sebastien, Downey, John, Weiss, Jeffrey, Javdani, Shervin, Hebert, Martial, Schwartz, Andrew B., Collinger, Jennifer L., Bagnell, J. Andrew
Robot teleoperation systems face a common set of challenges including latency, low-dimensional user commands, and asymmetric control inputs. User control with Brain-Computer Interfaces (BCIs) exacerbates these problems through especially noisy and er
Externí odkaz:
http://arxiv.org/abs/1503.05451
Publikováno v:
In Artificial Intelligence June 2017 247:399-414
