Zobrazeno 1 - 10
of 198
pro vyhledávání: '"BRETL, TIMOTHY"'
This paper addresses the problem of choosing a sparse subset of measurements for quick calibration parameter estimation. A standard solution to this is selecting a measurement only if its utility -- the difference between posterior (with the measurem
Externí odkaz:
http://arxiv.org/abs/2407.02232
Autor:
Ta, Minh Q., Dinkel, Holly, Abdul-Rashid, Hameed, Dai, Yangfei, Myers, Jessica, Chen, Tan, Geng, Junyi, Bretl, Timothy
This work evaluates the impact of time step frequency and component scale on robotic manipulation simulation accuracy. Increasing the time step frequency for small-scale objects is shown to improve simulation accuracy. This simulation, demonstrating
Externí odkaz:
http://arxiv.org/abs/2310.08233
We show that it is possible to learn an open-loop policy in simulation for the dynamic manipulation of a deformable linear object (DLO) -- e.g., a rope, wire, or cable -- that can be executed by a real robot without additional training. Our method is
Externí odkaz:
http://arxiv.org/abs/2310.00911
This paper quantifies the performance of visual SLAM that leverages multi-scale fiducial markers (i.e., artificial landmarks that can be detected at a wide range of distances) to show its potential for reliable takeoff and landing navigation in rotor
Externí odkaz:
http://arxiv.org/abs/2309.08769
This paper presents a comparative study of three modes for mobile robot localization based on visual SLAM using fiducial markers (i.e., square-shaped artificial landmarks with a black-and-white grid pattern): SLAM, SLAM with a prior map, and localiza
Externí odkaz:
http://arxiv.org/abs/2309.04441
This work proposes a solution for the problem of training physics-informed networks under partial integro-differential equations. These equations require an infinite or a large number of neural evaluations to construct a single residual for training.
Externí odkaz:
http://arxiv.org/abs/2305.17387
We present a multi-robot task and motion planning method that, when applied to the rearrangement of objects by manipulators, results in solution times up to three orders of magnitude faster than existing methods and successfully plans for problems wi
Externí odkaz:
http://arxiv.org/abs/2210.04333
In this paper, we present a policy gradient method that avoids exploratory noise injection and performs policy search over the deterministic landscape. By avoiding noise injection all sources of estimation variance can be eliminated in systems with d
Externí odkaz:
http://arxiv.org/abs/2205.15379
Publikováno v:
in IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 2055-2062, April 2022
We present a method of extrinsic calibration for a system of multiple inertial measurement units (IMUs) that estimates the relative pose of each IMU on a rigid body using only measurements from the IMUs themselves, without the need to prescribe the t
Externí odkaz:
http://arxiv.org/abs/2205.14724
Autor:
Chen, Tan, Huang, Zhe, Motes, James, Geng, Junyi, Ta, Quang Minh, Dinkel, Holly, Abdul-Rashid, Hameed, Myers, Jessica, Mun, Ye-Ji, Lin, Wei-che, Huang, Yuan-yung, Liu, Sizhe, Morales, Marco, Amato, Nancy M., Driggs-Campbell, Katherine, Bretl, Timothy
Significant progress in robotics reveals new opportunities to advance manufacturing. Next-generation industrial automation will require both integration of distinct robotic technologies and their application to challenging industrial environments. Th
Externí odkaz:
http://arxiv.org/abs/2205.14340