[robotics-worldwide] [meetings] Second Call for Contribution: IROS 2016 Workshop on State Estimation and Terrain Perception for All Terrain Mobile Robots

Michael Bloesch bloeschm at ethz.ch
Sun Aug 7 22:55:44 PDT 2016


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Second Call for Contribution
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IROS 2016 Workshop: State Estimation and Terrain Perception for All 
Terrain Mobile Robots
https://urldefense.proofpoint.com/v2/url?u=http-3A__www.asl.ethz.ch_publications-2Dand-2Dsources_workshops_iros-2D2016-2Dstate-2Destimation-2Dand-2Dterrain-2Dperception.html&d=DQIDaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rStC00sfV_qVWqlcnmGhKrRoTMim5rLso-FTzVW2NfNyo&m=NUwbDdLyBJTZP8NDyCjOaR54-LhQFPaVCSKXWu8SnQQ&s=KkaiosO3Whgd7JXNr6ONFF8abE_6JTF6bf8R1jgeTuI&e= 
October 14, 2016, Daejeon, Korea
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* Submission Info *
We invite contributions to the poster session held during the IROS 2016 
workshop on “State Estimation and Terrain Perception for All Terrain 
Mobile Robots”. Topics of interests include 3D mapping and terrain 
representation, robust pose estimation, as well as dealing with real 
world related challenges (dynamic scenes, calibration, sensor failures, 
etc.). Please submit a 1–2 page abstract (IROS paper format) until 
August 21, 2016, to bloeschm at ethz.ch. A best poster award will be 
announced at the end of the workshop.

* Important Dates *
Abstract submission deadline: August 21, 2016
Notification of acceptance: August 31, 2016
Workshop: October 14, 2016

* Organizers *
ETH Zurich (Michael Bloesch, Péter Fankhauser, Roland Siegwart)
University of Sydney (David Johnson, Salah Sukkarieh)
Ecole Centrale de Nantes (Philippe Martinet)

* General Info *
Enabling mobile robots to move in unknown environments requires them to 
have an understanding of the surrounding and their location within. This 
is especially important for UGVs such as legged robots, tracked and 
wheeled vehicles. These systems rely on the interaction with the terrain 
for traction, while avoiding collision, slippage, and instabilities. 
Therefore, an accurate terrain representation together with a reliable 
pose estimation is crucial for the successful deployment of these 
robots. The main objective of this workshop is to bring together people 
from the fields of state estimation and terrain perception for UGVs to 
exchange ideas and foster collaboration.

Since in real world robotic applications both state estimation and 
terrain perception are tightly interweaved problems, they have to be 
addressed conjointly. In comparison to previous similar workshops, the 
proposed workshop pays special attention on the challenges resulting 
from combining methods from both state estimation and terrain 
perception. The discussed topics will include the processing of 
exteroceptive sensor data (vision, RGB-D, LiDAR, Time-of-Flight), the 
representation and interpretation of environments, and the consistent 
formulation of state estimation algorithms. During the discussions we 
will also address the practical problems related to the integration on 
real robots where uncertain, corrupted and missing data have to be handled.


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