Travelled to:1 × Taiwan
3 × USA
Collaborated with:A.Rönnau G.Heppner S.Brechtel T.Gindele Z.Xue J.M.Zöllner D.I.Gonzalez-Aguirre T.Asfour E.Bayro-Corrochano J.Oberländer S.Klemm C. Plasberg Lennart Puck Tristan Schnell Timothee Büttner Lea Steffen Benedict Hauck Jacques Kaiser Jakob Weinland Stefan Ulbrich Daniel Reichard
Talks about:robot (3) model (2) base (2) propriocept (1) represent (1) planetari (1) multifing (1) increment (1) geometri (1) resolut (1)
Person: Rüdiger Dillmann
DBLP: Dillmann:R=uuml=diger
Contributed to:
2014
20132008
20082019Wrote 6 papers:
- CASE-2014-OberlanderKHRD #3d #multi
- A multi-resolution 3-D environment model for autonomous planetary exploration (JO, SK, GH, AR, RD), pp. 229–235.
- ICML-c3-2013-BrechtelGD #incremental #learning #performance #representation
- Solving Continuous POMDPs: Value Iteration with Incremental Learning of an Efficient Space Representation (SB, TG, RD), pp. 370–378.
- CASE-2008-XueZD #multi
- Planning regrasp operations for a multifingered robotic hand (ZX, JMZ, RD), pp. 778–783.
- ICPR-2008-Gonzalez-AguirreABD #geometry #graph #modelling #self #using #visual notation
- Model-based visual self-localization using geometry and graphs (DIGA, TA, EBC, RD), pp. 1–5.
- CASE-2019-HeppnerPPSBRD #estimation #health
- Risk Aware Robots - Health Estimation and Capability Selection (GH, CP, LP, TS, TB, AR, RD), pp. 1193–1199.
- CASE-2019-SteffenHKWURRD #memory management
- Creating an Obstacle Memory Through Event-Based Stereo Vision and Robotic Proprioception (LS, BH, JK, JW, SU, DR, AR, RD), pp. 1829–1836.