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Fast and efficient terrain-aware motion planning for exploration rovers
(IEEE, 2021)
This paper presents a fast, energy-efficient, and low computational cost traversal solution on sloped terrain. The use of grid-based search algorithms requires high computational power and takes a long time because almost ...
Learning medical suturing primitives for autonomous suturing
(IEEE, 2021)
This paper focuses on a learning from demonstration approach for autonomous medical suturing. A conditional neural network is used to learn and generate suturing primitives trajectories which were conditioned on desired ...
An ecologically valid reference frame for perspective invariant action recognition
(IEEE, 2021)
In robotics, objects and body parts can be represented in various coordinate frames to ease computation. In biological systems, body or body part centered coordinate frames have been proposed as possible reference frames ...
Modeling robot trust based on emergent emotion in an interactive task
(IEEE, 2021)
Trust is an essential component in human-human and human-robot interactions. The factors that play potent roles in these interactions have been an attractive issue in robotics. However, the studies that aim at developing ...
Metric labeling and semimetric embedding for protein annotation prediction
(Mary Ann Liebert, Inc., 2021-05-01)
Computational techniques have been successful at predicting protein function from relational data (functional or physical interactions). These techniques have been used to generate hypotheses and to direct experimental ...
Manus manum lavat: media clients and servers cooperating with common media client/server data
(ACM, 2021-07-24)
The newly rectified CTA standard - Common Media Client Data (CMCD) - allows content providers to get insights into the performance of their large-scale streaming operations. Its sister standard - Common Media Server Data ...
Foreword
(ACM, 2021)
N/A
Improving regression performance on monocular 3D object detection using bin-mixing and sparse voxel data
(IEEE, 2021)
Accurate and fast 3D object detection plays a role of paramount importance for safe and capable autonomous machines. LiDAR point cloud based methods have demonstrated impressive results, yet expensive LiDAR sensors make ...
Implementing quantum finite automata algorithms on noisy devices
(Springer, 2021)
Quantum finite automata (QFAs) literature offers an alternative mathematical model for studying quantum systems with finite memory. As a superiority of quantum computing, QFAs have been shown exponentially more succinct ...
Effect of awareness of other side’s gain on negotiation outcome, emotion, argument, and bidding behavior
(Springer, 2021)
Designing agents aiming to negotiate with human counterparts requires additional factors. In this work, we analyze the main elements of human negotiations in a structured human experiment. Particularly, we focus on studying ...
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