GENERAL ENQUIRIES: Tel: + 27 12 841 2911 | Email: callcentre@csir.co.za

Mobile intelligent autonomous systems

 

News

CSIR Research Space is constantly being developed and populated. Please report any errors to Siphethile Muswelanto Constructive criticism and suggestions would be welcome.

Recent Submissions

  • Burke, Michael (IEEE, 2016-12)
    The ability to predict the importance of an image is highly desirable in computer vision. This work introduces an image ranking scheme suitable for use in video or image sequences. Pairwise image comparisons are used to ...
  • Blasch, E; Costa, PCG; De Villiers, J Pieter; Laskey, KB; Llinas, J; Jousselme, A-L (IEEE, 2016-07)
    Over the course of Dave Hall's career, he highlighted various concerns associated with the implementation of data fusion methods. Many of the issues included the role of uncertainty in data fusion, practical implementation ...
  • Pancham, Ardhisha; Withey, Dan; Bright, G (IEEE, 2016-10)
    The use of low-cost, camera sensors for Simultaneous Localization And Mapping and Moving Object Tracking (SLAMMOT) is a developing research area. Image features can be static or dynamic, sparse or dense, and can appear or ...
  • Hernandez-Leal, P; Taylor, ME; Rosman, Benjamin; Sucar, LE; Munoz de Cote, E (Association for the Advancement of Artificial Intelligence (AAAI), 2016-02)
    In many situations, agents are required to use a set of strategies (behaviors) and switch among them during the course of an interaction. This work focuses on the problem of recognizing the strategy used by an agent within ...
  • Rosman, Benjamin; Hawasly, M; Ramamoorthy, S (Springer Verlag, 2016-02)
    A long-lived autonomous agent should be able to respond online to novel instances of tasks from a familiar domain. Acting online requires `fast' responses, in terms of rapid convergence, especially when the task instance ...
  • James, S; Rosman, Benjamin S; Konidaris, G (2016-07)
    Monte Carlo Tree Search (MCTS) is a family of directed search algorithms that has gained widespread attention in recent years, with its domain-independent nature making it particularly attractive to fields such as General ...
  • Hiratsuka, M; Makondo, N; Rosman, Benjamin S; Hasegawa, O (IEEE Xplore, 2016-10)
    This work proposes a framework that enables arbitrary robots with unknown kinematics models to imitate human demonstrations to acquire a skill, and reproduce it in real-time. The diversity of robots active in non-laboratory ...
  • Lubbe, Estelle; Withey, Daniel J; Uren, KR (IEEE, 2015-09)
    This paper introduces a state estimation methodology for a hexapod robot that makes use of proprioceptive sensors and a kinematic model of the robot. The methodology focuses on providing reliable full pose state estimation ...
  • De Villiers, Johan P; Laskey, K; Jousselme, A-L; Blasch, E; Pavlin, G; Costa, P (2015-07)
    Mathematical and uncertainty modelling is an important component of data fusion (the fusion of unprocessed sensor data) and information fusion (the fusion of processed or interpreted data). If uncertainties in the modelling ...
  • Dabrowski, James M; De Villiers, Johan P (Elsevier, 2015-05)
    A generative model for modelling maritime vessel behaviour is proposed. The model is a novel variant of the dynamic Bayesian network (DBN). The proposed DBN is in the form of a switching linear dynamic system (SLDS) that ...
  • Berman, R; Benade, R; Rosman, Benjamin S (IEEE Xplore, 2015-11)
    In most countries throughout the world, heavy vehicle use on public roads are governed by prescriptive rules, typically by imposing stringent mass and dimension limits in an attempt to control vehicle safety. A recent ...
  • Kleinhans, A; Rosman, Benjamin S; Michalik, M; Tripp, B; Detry, R (ICRA 2015, 2015-05)
    Autonomous grasping is a problem that receives continuous attention from our community because it is both key to many applications, and difficult to solve. The complexity of robot grasping is counter-intuitive. For us ...
  • Ajoodha, R; Klein, R; Rosman, Benjamin S (IEEE Xplore, 2015-11)
    In this paper we use content-based features to perform automatic classification of music pieces into genres. We categorise these features into four groups: features extracted from the Fourier transform’s magnitude spectrum, ...
  • Burke, Michael G; Lasenby, J (IEEE Xplore, 2015-10)
    This paper introduces a pantomimic gesture interface, which classifies human hand gestures using unmanned aerial vehicle (UAV) behavior recordings as training data. We argue that pantomimic gestures are more intuitive than ...
  • Stewart, TC; DeWolf, T; Kleinhans, A; Eliasmith, C (Frontiers, 2015-11)
    Evaluating the effectiveness and performance of neuromorphic hardware is difficult. It is even more difficult when the task of interest is a closed-loop task; that is, a task where the output from the neuromorphic hardware ...
  • Makondo, N; Rosman, Benjamin S; Hasegawa, O (2015-11)
    Learning of robot kinematic and dynamic models from data has attracted much interest recently as an alternative to manually defined models. However, the amount of data required to learn these models becomes large when the ...
  • Rosman, Benjamin S; Hayes, B; Scassellati, B (IEEE, 2015-08)
    Exploration and self-directed learning are valuable components of early childhood development. This often comes at an unacceptable safety trade-off, as infants and toddlers are especially at risk from environmental hazards ...
  • Ranchod, P; Rosman, Benjamin S; Konidaris, G (IEEE, 2015-10)
    We present a method for segmenting a set of unstructured demonstration trajectories to discover reusable skills using inverse reinforcement learning (IRL). Each skill is characterised by a latent reward function which the ...
  • Chavez-Santiago, R; Szydelko, M; Kliks, A; Foukalas, F; Haddad, Y; Nolan, KE; Kelly, MY; Masonta, MT; Balasingham, I (Springerlink, 2015-03)
    As the rollout of 4G mobile communication networks takes place, representatives of industry and academia have started to look into the technological developments toward the next generation (5G). Several research projects ...
  • Pancham, A; Withey, Daniel J; Bright, G (IEEE Xplore, 2015-05)
    The tracking of moving points in image sequences requires unique features that can be easily distinguished. However, traditional feature descriptors are of high dimension, leading to larger storage requirement and slower ...

View more