In 2015, Haviv introduced the Remote set problem (RSP) and studied the complexity of the covering radius problem (CRP), which is a classical problem in lattices. The RSP aims to identify a set containing a point that is sufficiently distant from a given lattice \(\pmb {\mathcal {L}}\) . It introduced a new method for analyzing the complexity of CRP. An open question in RSP is whether we can obtain the approximation factor \(\gamma =1/2\) . This paper investigates this question and proposes a probabilistic polynomial-time algorithm for RSP with an approximation factor of \(1/2-1/(c\lambda ^{(p)}_n)\) , where \(c\in \mathbb {Z}^{+}\) and \(\lambda ^{(p)}_n\) is the n-th successive minima in lattice under \(l_p\) -norm. For a given lattice \(\pmb {\mathcal {L}}\) with rank n and positive integer d, our algorithm outputs a set S of size d in polynomial time. This set S includes a point at least \((\frac{1}{2}-\frac{1}{c\lambda ^{(p)}_n}){{\rho }^{(p)}}(\pmb {\mathcal {L}})\) from lattice \(\pmb {\mathcal {L}}\) with a probability greater than \(1-1/2^d\) . Here, c is a positive integer and \(\rho ^{(p)}(\pmb {\mathcal {L}})\) denotes the covering radius of \(\pmb {\mathcal {L}}\) in \(l_p\) -norm( \(1\le p\le \infty \) ). Based on this, we obtain that \(\text {GAPCRP}_{2+1/2^{O(n)}}\) belongs to the complexity class coRP, and we provide new reductions from GAPCRP to GAPCVP.