Zobrazeno 1 - 10
of 4 548
pro vyhledávání: '"A. P. Rus"'
Soft robotics focuses on designing robots with highly deformable materials, allowing them to adapt and operate safely and reliably in unstructured and variable environments. While soft robots offer increased compliance over rigid body robots, their p
Externí odkaz:
http://arxiv.org/abs/2408.09275
Autor:
Li, Sizhe Lester, Zhang, Annan, Chen, Boyuan, Matusik, Hanna, Liu, Chao, Rus, Daniela, Sitzmann, Vincent
Mirroring the complex structures and diverse functions of natural organisms is a long-standing challenge in robotics. Modern fabrication techniques have dramatically expanded feasible hardware, yet deploying these systems requires control software to
Externí odkaz:
http://arxiv.org/abs/2407.08722
The performance of object detection systems in automotive solutions must be as high as possible, with minimal response time and, due to the often battery-powered operation, low energy consumption. When designing such solutions, we therefore face chal
Externí odkaz:
http://arxiv.org/abs/2407.08272
Simulators are powerful tools for autonomous robot learning as they offer scalable data generation, flexible design, and optimization of trajectories. However, transferring behavior learned from simulation data into the real world proves to be diffic
Externí odkaz:
http://arxiv.org/abs/2406.15149
Safe learning is central to AI-enabled robots where a single failure may lead to catastrophic results. Barrier-based method is one of the dominant approaches for safe robot learning. However, this method is not scalable, hard to train, and tends to g
Externí odkaz:
http://arxiv.org/abs/2406.13025
Generating varied scenarios through simulation is crucial for training and evaluating safety-critical systems, such as autonomous vehicles. Yet, the task of modeling the trajectories of other vehicles to simulate diverse and meaningful close interact
Externí odkaz:
http://arxiv.org/abs/2406.04300
Autor:
Vaida, Calin, Gherman, Bogdan, Birlescu, Iosif, Tucan, Paul, Pusca, Alexandru, Rus, Gabriela, Chablat, Damien, Pisla, Doina
Publikováno v:
19th International Symposium on Advances in Robot Kinematics, Springer, 2024
The paper presents the kinematic modelling for the coupled motion of a 6-DOF surgical parallel robot PARA-SILSROB which guides a mobile platform carrying the surgical instruments, and the actuators of the sub-modules which hold these tools. To increa
Externí odkaz:
http://arxiv.org/abs/2406.02047
Discrepancy is a well-known measure for the irregularity of the distribution of a point set. Point sets with small discrepancy are called low-discrepancy and are known to efficiently fill the space in a uniform manner. Low-discrepancy points play a c
Externí odkaz:
http://arxiv.org/abs/2405.15059
In-context learning (ICL) allows transformer-based language models that are pre-trained on general text to quickly learn a specific task with a few "task demonstrations" without updating their parameters, significantly boosting their flexibility and
Externí odkaz:
http://arxiv.org/abs/2405.14899
Autor:
Ma, Pingchuan, Wang, Tsun-Hsuan, Guo, Minghao, Sun, Zhiqing, Tenenbaum, Joshua B., Rus, Daniela, Gan, Chuang, Matusik, Wojciech
Large Language Models have recently gained significant attention in scientific discovery for their extensive knowledge and advanced reasoning capabilities. However, they encounter challenges in effectively simulating observational feedback and ground
Externí odkaz:
http://arxiv.org/abs/2405.09783