• No results found

Human-robot co-navigation using anticipatory indicators of human walking motion

N/A
N/A
Protected

Academic year: 2021

Share "Human-robot co-navigation using anticipatory indicators of human walking motion"

Copied!
8
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Fig. 1: Overview of the experimental setup. Region A denotes the region after which participants were free to choose their trajectories.
Fig. 2: Trajectories across all the participants: segmented based on the subject (the colors correspond to the trials for different subjects).
Fig. 4: Estimate of fixed factor effects across all y-locations for x (top), ψ (center) and ¯v x (bottom)
Fig. 6: Performance results as a function of time and training set size. Validation using 20 random libraries.
+3

References

Related documents

● P1: Use POSIX regular expressions to tokenize Decaf files – Process the input one line at a time. – Generally, create one regex per

Thus, the Jila, subterranean river in Liuzhou, the Lihu subterranean river in Nandan and the Maocun village subterranean river in Guilin in karst regions in Guangxi Province and

 A-Train Data Depot (ATDD) was supported by NASA ACCESS (Advancing Collaborative Connections in Earth System Science) program and now is on sustaining mode.  Started with

Several aspects are pointed out that should ensure high quality designs and by this the paper presents a way working towards a more robust design process by a tight integration

A good way to frame this progression into the second year is to focus on developing four areas: evaluation , implementation of long-term strategic plans, refinement of

In the UAE, we believe that the implementation steps for the business excellence could show some specific activities & practices due to a different power

The trends of seasonal and annual mean rainfall averaged over the Nigerian Sahel suggest that rainfall has increased signi fi cantly in JJA, at a rate of 10 mm per decade during 1971

This Primary Eye Care Optometric Residency is a one-year post-doctoral training program sponsored by the Department of Veterans Affairs Medical Center (VAMC) in Portland,