Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Valles, Federico"'
Event cameras provide low-latency perception for only milliwatts of power. This makes them highly suitable for resource-restricted, agile robots such as small flying drones. Self-supervised learning based on contrast maximization holds great potentia
Externí odkaz:
http://arxiv.org/abs/2412.06359
Motion detection is a primary task required for robotic systems to perceive and navigate in their environment. Proposed in the literature bioinspired neuromorphic Time-Difference Encoder (TDE-2) combines event-based sensors and processors with spikin
Externí odkaz:
http://arxiv.org/abs/2402.11662
The rise of mobility, IoT and wearables has shifted processing to the edge of the sensors, driven by the need to reduce latency, communication costs and overall energy consumption. While deep learning models have achieved remarkable results in variou
Externí odkaz:
http://arxiv.org/abs/2312.14261
Autor:
Paredes-Vallés, Federico, Hagenaars, Jesse, Dupeyroux, Julien, Stroobants, Stein, Xu, Yingfu, de Croon, Guido
Biological sensing and processing is asynchronous and sparse, leading to low-latency and energy-efficient perception and action. In robotics, neuromorphic hardware for event-based vision and spiking neural networks promises to exhibit similar charact
Externí odkaz:
http://arxiv.org/abs/2303.08778
Autor:
Paredes-Vallés, Federico, Scheper, Kirk Y. W., De Wagter, Christophe, de Croon, Guido C. H. E.
Event cameras have recently gained significant traction since they open up new avenues for low-latency and low-power solutions to complex computer vision problems. To unlock these solutions, it is necessary to develop algorithms that can leverage the
Externí odkaz:
http://arxiv.org/abs/2303.05214
Inspired by frame-based methods, state-of-the-art event-based optical flow networks rely on the explicit construction of correlation volumes, which are expensive to compute and store, rendering them unsuitable for robotic applications with limited co
Externí odkaz:
http://arxiv.org/abs/2211.13726
Nano quadcopters are small, agile, and cheap platforms that are well suited for deployment in narrow, cluttered environments. Due to their limited payload, these vehicles are highly constrained in processing power, rendering conventional vision-based
Externí odkaz:
http://arxiv.org/abs/2209.06918
Robotics is the next frontier in the progress of Artificial Intelligence (AI), as the real world in which robots operate represents an enormous, complex, continuous state space with inherent real-time requirements. One extreme challenge in robotics i
Externí odkaz:
http://arxiv.org/abs/2109.14985
The field of neuromorphic computing promises extremely low-power and low-latency sensing and processing. Challenges in transferring learning algorithms from traditional artificial neural networks (ANNs) to spiking neural networks (SNNs) have so far p
Externí odkaz:
http://arxiv.org/abs/2106.01862
Neuromorphic processors like Loihi offer a promising alternative to conventional computing modules for endowing constrained systems like micro air vehicles (MAVs) with robust, efficient and autonomous skills such as take-off and landing, obstacle avo
Externí odkaz:
http://arxiv.org/abs/2011.00534