Plucking Motions for Tea Harvesting Robots Using Probabilistic Movement Primitives
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The spectral decomposition of cryptography into its life-giving components yields an interlaced network oftangential and orthogonal disciplines that are nonetheless invariably grounded by the same denominator: theirimplementation on commodity computing pla ...
Spatial understanding and communication are essential skills in human interaction. An adequate understanding of others' spatial perspectives can increase the quality of the interaction, both perceptually and cognitively. In this paper, we take the first st ...
High-performance branch target buffers (BTBs) and the L1I cache are key to high-performance front-end. Modern branch predictors are highly accurate, but with an increase in code footprint in modern-day server workloads, BTB and L1I misses are still frequen ...
This thesis presents an efficient and extensible numerical software framework for real-time model-based control. We are motivated by complex and challenging mechatronic applications spanning from flight control of fixed-wing aircraft and thrust vector cont ...
The building cultures of regions where plant resources abound show the adaptation of these local bio-based materials to the roofing of buildings: thatch, reed, bark or shingles. Despite a low environmental impact, these techniques require skilled manual wo ...
Non-Volatile Memory (NVM) is an emerging type of memory device that provides fast, byte-addressable, and high-capacity durable storage. NVM sits on the memory bus and allows durable data structures designs similar to the in-memory equivalent ones. Expensiv ...
Database workloads have significantly evolved in the past twenty years. Traditional database systems that are mainly used to serve Online Transactional Processing (OLTP) workloads evolved into specialized database systems that are optimized for particular ...
The purpose of this study was to determine the effects of modifying stride length (SL) on knee adduction and flexion moments, two markers of knee loading associated with medial-compartment knee osteoarthritis (OA) progression. This study also tested if SL ...
In this paper, we address the problem of privacy-preserving training and evaluation of neural networks in an N-party, federated learning setting. We propose a novel system, POSEIDON, the first of its kind in the regime of privacy-preserving neural network ...
This paper has been written as a response to 'Six additional questions about smart specialization: implications for regional innovation policy 4.0' by M. Benner. The paper starts with the argument that recent academic work has enabled considerable progress ...