ARMBench: An object-centric benchmark dataset for robotic manipulation

C Mitash, F Wang, S Lu, V Terhuja… - … on Robotics and …, 2023 - ieeexplore.ieee.org
This paper introduces Amazon Robotic Manipulation Benchmark (ARMBench), a large-
scale, object-centric benchmark dataset for robotic manipulation in the context of a …

Leveraging autonomous mobile robots for Industry 4.0 warehouses: A multiple case study analysis

AK Grover, MH Ashraf - The International Journal of Logistics …, 2023 - emerald.com
Purpose Despite its potential, warehouse managers still struggle to successfully assimilate
autonomous mobile robots (AMRs) in their operations. This paper means to identify the …

Autonomous and IoT‐driven intralogistics for Industry 4.0 warehouses: A thematic analysis of the literature

AK Grover, MH Ashraf - Transportation Journal, 2024 - Wiley Online Library
Eyeing superior operational performance, transportation, and warehousing management,
researchers have turned their much‐needed attention to autonomous and IoT‐driven …

Dimensioning Cuboid and Cylindrical Objects Using Only Noisy and Partially Observed Time-of-Flight Data

B Rodriguez, P Rangarajan, X Zhang, D Rajan - Sensors, 2023 - mdpi.com
One of the challenges of using Time-of-Flight (ToF) sensors for dimensioning objects is that
the depth information suffers from issues such as low resolution, self-occlusions, noise, and …

Robotyka: techniki, funkcje, rola społeczna. Cz. 2, Aktualne możliwości robotów

C Zieliński - Pomiary Automatyka Robotyka, 2023 - yadda.icm.edu.pl
Aby ocenić, jaki wpływ będą miały roboty na społeczeństwo, należy skrupulatnie
przeanalizować obecny stan wiedzy, aw szczególności wskazać fundamentalne problemy …

[PDF][PDF] Using Deep Neural Networks for Scheduling Resource-Constrained Activity Sequences

P Pagani - 2022 - scholar.archive.org
One of the most popular scheduling problems is the scheduling of the activities under
precedence and resource constraints. In the literature, this problem is called Resource …