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Do not predict – Recompute! How value recomputation can truly boost the performance of invisible speculation
(IEEE, 2021)
Recent architectural approaches that address speculative side-channel attacks aim to prevent software from exposing the microarchitectural state changes of transient execution. The Delay-on-Miss technique is one such ...
Guest editorial special issue on continual unsupervised sensorimotor learning
(IEEE, 2021-06)
The pursuit of higher levels of autonomy and versatility in robotics is arguably led by two main factors. First, as we push robots out of the labs and production lines, it becomes increasingly challenging to design for all ...
Nova: Value-based negotiation of norms
(ACM, 2021-08-01)
Specifying a normative multiagent system (nMAS) is challenging, because different agents often have conflicting requirements. Whereas existing approaches can resolve clear-cut conflicts, tradeoffs might occur in practice ...
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 ...
Bargaining chips: Coordinating one-to-many concurrent composite negotiations
(ACM, 2021)
This study presents Bargaining Chips: a framework for one-to-many concurrent composite negotiations, where multiple deals can be reached and combined. Our framework is designed to mirror the salient aspects of real-life ...
FrameForm: An open-source annotation interface for framenet
(Association for Computational Linguistics (ACL), 2021)
In this paper, we introduce FrameForm1, an open-source annotation tool designed to accommodate predicate annotations based on Frame Semantics (Fillmore et al., 1976). FrameForm is a user-friendly tool for creating, annotating ...
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 ...
Formal modelling and verification of a multi-agent negotiation approach for airline operations control
(Springer, 2021-02-12)
This paper proposes and evaluates a new airline disruption management strategy using multi-agent system modelling, simulation, and verification. This new strategy is based on a multi-agent negotiation protocol and is ...
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 ...
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